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DESCRIPTION
productTRANSCRIPT
CHAPTER 1
INTRODUCTION
1.1GENERAL
In the recent years the use of e-commerce is grown very rapidly. Most retail
Websites promotes consumers to write their feedbacks about products to express their
opinions on various aspects of the products. An aspect, which can also be called as
feature, refers to a component or an attribute of a certain product. A sample review
“The sound quality of Sony Experia is amazing." reveals positive opinion on the aspect
“sound quality" of product Sony Experia. Many forum Websites also provide a platform
for consumers to post reviews on number of products. For example, CNet.com involves
more than seven million product reviews; These numerous consumer reviews contain
rich and valuable knowledge, which is becoming an important resource for both
consumers and firms. Before purchasing a product, consumers commonly seek quality
information from online reviews and firms can use these reviews as feedbacks for better
product development, consumer relationship management and marketing. Generally, a
product may have number of aspects. For example, a Smart Phone has hundreds of
aspects such as “screen size," “camera," “memory size," ”sound quality.” one may say
that some aspects are more important than the others, and have strong influence on the
consumers’ decision making as well as firms’ product development strategies. For
example, some aspects of Smart Phone .Hence, the identification of important product
aspects plays an essential role in improving the usability of reviews which is beneficial
to both consumers and firms. Consumers can easily make purchasing decision by
paying attention to the important aspects, while firms can focus on the improvement of
product quality so that product reputation is enhanced. However, manual identification
of important aspects is impractical. Therefore, an approach to automatically identify the
important aspects is highly demanded. Motivated by the above observations, we made a
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survey on different techniques used to find important product aspects automatically
from online consumer reviews.
1.2 OBJECTIVE
Consumers can easily make purchasing decision by paying attention to the
important aspects, while firms can focus on the improvement of product quality so that
product reputation is enhanced. However, manual identification of important aspects is
impractical. Therefore, an approach to automatically identify the important aspects is
highly demanded.
1.3 EXISTING SYSTEM
Existing techniques for aspect identification include supervised and unsupervised
methods. Supervised method learns an extraction model from a collection of labeled
reviews. The extraction model is used to identify aspects in new reviews. Unsupervised
methods have emerged recently and they assumed that product aspects are nouns and
noun phrases. The most informative content generally refers to the “most frequent" or
the “most favorably positioned" content from original review.
1.3.1 DISADVANTAGES OF EXISTING SYSTEM
1. The reviews are disorganized, leading to difficulties in information
navigation and knowledge acquisition.
2. The frequency-based solution is not able to identify the truly important
aspects of products which may lead to decrease in efficiency of the review.
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CHAPTER 2
LITERATURE SURVEY
A literature survey represents a study of previously existing material
on the topic of report.
2.1 “Sentiment classification of reviews using SentiWordNet,” by B. Ohana and
B. Tierney.
The product aspect ranking is to predict the ratings on individual aspects. Wang
developed a latent aspect rating analysis model, which aims to infer reviewer’s latent
opinions on each aspect and the relative emphasis on different aspects. This work
concentrates on aspect-level opinion estimation and reviewer rating behavior analysis,
rather than on aspect ranking. Snyder and Barzilay formulated a multiple aspect ranking
problem. Justin Martineau and Tim Finin present Delta TFIDF, a general purpose
technique to efficiently weight word scores. This technique calculate the value of aspect
in document but does not take into account the frequency of words associated with
aspect with it.
2.2 “A survey of text summarization extractive techniques,”by V. Gupta and
G. S. Lehal.
In contrast, unsupervised approaches automatically extract product aspects from
customer reviews without using training examples. Hu and Liu's works [5, 6] focuses
on association rule mining based on the Apriori algorithm to mine frequent itemsets as
explicit product aspects. In association rule mining, the algorithm does not consider the
position of the words in the sentence. In order to remove incorrect frequent aspects, two
types of pruning criteria were used: compactness and redundancy pruning. The
technique isefficient which does not require the use of training examples or predefined
sets of domain-independent extraction patterns.
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2.3 “Convergence of alternating optimization”, by J. C. Bezdek and R. J.
Hathaway
Existing product aspect identification techniques can be broadly classified into
two main approaches: supervised and unsupervised. Supervised learning technique
learns an extraction model which is called as aspect extractor, that aspect extractor is
then used to identify aspects in new reviews. For this task Hidden Markov Models and
Conditional Random Fields, Maximum Entropy, Class Association Rules and Naive
Bayes Classifier approaches have been used. Wong and Lam used a supervised learning
technique to train an aspect extractor.
2.4 “A survey of text summarization extractive techniques,”by V. Gupta and G. S.
Lehal,
Aspect sentiment classification can be done by using two approaches first
Lexicon based approach and second supervise learning approach. Lexicon based
approach is typically unsupervised. Lexicon consists of list of sentiment words, which
may be positive or negative. This method usually employs a bootstrap strategy to
generate high quality Lexicon. Hu and Liu have used this lexicon based method. They
obtained the sentimental lexicon by using synonym/antonym relation defined in
WordNet to bootstrap the seed word set. Hu’s method is improved by addressing two
issues: opinion of sentiment word would be content sensitive and conflict in review.
They derived the lexicon by using some constraints.
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CHAPTER 3
SYSTEM ENGINEERING
3.1 PROPOSED SYSTEM
A product aspect ranking framework to automatically identify the important
aspects of products from numerous consumer reviews. The consumer reviews of a
product identify the aspects in the reviews and then analyze consumer opinions on the
aspects via a sentiment classifier. The ratings from different Websites separately, instead
of performing a uniform normalization. This strategy is expected to alleviate the
influence of the rating variance among different Websites an overall rating. The Pros
and Cons reviews are used to identify the aspects by extracting the frequent noun terms
in the reviews. Document-level sentiment classification and extractive review
significant performance improvements, which demonstrate the capacity of product
aspect ranking in facilitating real-world applications.We develop a probabilistic aspect
ranking algorithm to infer the importance of various aspects by simultaneously
exploiting aspect frequency and the influence of consumers’ opinions given to each
aspect over their overall opinions on the product.
3.1.1 ADVANTAGES OF PROPOSED SYSTEM
1. Identifies important aspects based on the product, which increases the efficiency
of the reviews.
2. The proposed framework and its components are domain-independent.
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3.2 SYSTEM ARCHITECTURE
Fig 3.2 System architecture of proposed ststem
3.3 LIST OF MODULES
This project consists of mainly four modules.
1. Admin module,
2. Aspect Identification Module,
3. Sentiment Classification on Product Aspect,
4. Aspect Ranking.
3.4 MODULE DESCRIPTION
3.4.1 ADMIN MODULE
Admin will create all types of product Categories. In these Product categories we
will deal with only the electronic items like Mobile Phones, Laptops, and Cameras.
Besides the Admin will upload all the type of products based on categories respectively.
In that we divide product into product aspects to store and retrieve in the server.
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3.4.2 PRODUCT ASPECT IDENTIFICATION
The consumer reviews are composed in different formats on different forum
Websites. The Websites like CNet.com require consumers to give an overall rating on
the product that describe concise positive and negative opinions on some product
aspects, as well as write a paragraph of entire review in free text. Some Websites,
example, Viewpoints.com, only ask for an overall rating and a paragraph of free-text
review. The others website like Reevoo.com just require entire rating and some concise
positive and negative opinions on certain aspects. For the Pros and Cons reviews,
identify the aspects by extracting the frequently occurred nouns in the consumer
reviews. For free text reviews, a straightforward solution is to apply an existing aspect
identification approach.
3.4.3 SENTIMENT CLASSIFICATION ON PRODUCT ASPECT
The task of analyzing the sentiments expressed on aspects is called as aspect-
level sentiment classification in literature. Exiting techniques include the supervised
learning approaches and the lexicon-based approaches that are typically unsupervised.
The lexicon-based methods utilize a sentiment lexicon has a list of sentiment words,
phrases and idioms, to determine the sentiment orientation on each aspect. While these
methods are easy to implement, their performance relies heavily on the quality of the
sentiment lexicon. Beyond this, the supervised learning methods train a sentiment
classifier based on training corpus. The classifier is then used to anticipate the sentiment
on each aspect.
3.4.4 ASPECT RANKING
Propose product aspect ranking frameworks which identify the main aspects of
products automatically from enormous consumer reviews. Develop an algorithm for
probabilistic aspect ranking to identify the importance of different aspects by
simultaneously exploiting aspect frequency and the influence of consumer’s opinions
given to every aspect over their overall opinions on the product. Demonstrate the
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strength of aspect ranking in real-world applications. Excellent performance
improvements are obtained on applications of document-level sentiment classification
and their extractive review summarization by use of aspect ranking.
3.5 ALGORITHM
PROBABILISTIC ASPECT RANKING ALGORITHM
Terms used in Algorithm
1.D={r1, r2,r3…rn} be the set of reviews.
2.Ak= {a1, a2, a3,…… an} be the set of aspect
3.Ca,D is the number of times aspect term a occurs in review dataset D.
4.Pa is the number of comments in the positively labeled set with aspect term a.
5.|P| is the number of comments in the positively labeled set.
6.Na is the number of comments in the negatively labeled set with aspect term a.
7.|N| is the number of comments in the negatively labeled set.
8.Va,D is the feature value for aspect term a in review dataset D.
9.Let Φ = set of positive words
10. Φ= {P1, P2, P3 ... Pn}
11. Let ψ = set of negative words
12. ψ ={N1, N2, N3 ... Nn} 13. ( )=probability of Φ
14.
=probability of ψ
15. ω weight of aspect a
Calculate the value of aspect a,given by
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Calculate the occurrence probability of each positively opinionated word
Calculate the occurrence probability of each negatively opinionated word
Calculate weight,
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CHAPTER 4
SYSTEM REQUIREMENTS
4.1 FUNCTIONAL REQUIREMENTS
A functional requirement defines a function of a software system or its
components. A function is described as the set of inputs, the behavior and the outputs.
Functional requirement may be calculations, technical details, data manipulation and
other specific functionalities that show how a use case is to be full filled. They are
supported by non-functional requirements, which impose constraints on the design or
implementation.
4.2 NON-FUNCTIONAL REQUIREMENTS
Non-functional requirements are requirements that specify criteria that can be
used to judge the operation of the system, rather than specific behaviors. Non-functional
requirements are often called qualities of system.
4.3 HARDWARE REQUIREMENTS
System : Pentium IV 2.4 GHz.
Hard Disk : 40 GB.
Floppy Drive : 1.44 Mb.
Monitor : 15 VGA Colour.
Mouse : Logitech.
Ram : 512 Mb.
4.4 SOFTWARE REQUIREMENTS
Operating system : Windows XP/7.
Coding Language : PHP
Tool : Notepad++
Database : SQL SERVER 2008
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CHAPTER 5
DESIGN ENGINEERING
5.1 USECASE DIAGRAMS
Use case diagrams model behavior within a system and helps the developers
understand of what the user require. The stick man represents what’s called an actor.
Use case diagram can be useful for getting an overall view of the system and clarifying
that can do and more importantly what they can’t do.
Fig 5.1 Usecase diagram of proposed system
Use case diagram consists of use cases and actors and shows the interaction between the
use case and actors.
1. The purpose is to show the interactions between the use case and actor.
2. To represent the system requirements from user’s perspective.
3. An actor could be the end-user of the system or an external system.
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5.2 SEQUENCE DIAGRAM
Sequence diagram and collaboration diagram are called INTERACTION
DIAGRAMS. An interaction diagram shows an interaction, consisting of set of objects
and their relationship including the messages that may be dispatched among them.
A sequence diagram is an introduction that empathizes the time ordering of
messages. Graphically a sequence diagram is a table that shows objects arranged along
the X-axis and messages ordered in increasing time along the Y-axis.
Fig 5.2 Sequence diagram of proposed system
5.3 CLASS DIAGRAM
Class is nothing but a structure that contains both variables and methods. The
Class Diagram shows a set of classes, interfaces, and collaborations and their relating
ships. There is most common diagram in modeling the object oriented systems and are
used to give the static view of a system. It shows the dependency between the classes
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that can be used in our system. The interactions between the modules or classes of our
projects are shown below. Each block contains Class Name, Variables and Methods.
Class Diagram for User:
Class Diagram for Admin:
Fig 5.3 class diagram of proposed system
5.4 ACTIVITY DIAGRAM
Activity diagram is another important diagram in UML to describe dynamic
aspects of the system.Activity diagram is basically a flow chart to represent the flow
form one activity to another activity. The activity can be described as an operation of
the system.So the control flow is drawn from one operation to another. This flow can be
sequential, branched or concurrent. Activity diagrams deals with all type of flow control
by using different elements like fork, join etc.
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(a)(b)
Fig 5.4 (a) activity diagrams for user, (b) activity diagrams for admin
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CHAPTER 6
DEVELOPMENT TOOLS
6.1 INTRODUCTION TO HTML FRAMEWORK
HyperText Markup Language, commonly referred to as HTML, is the
standard markup language used to create web pages. Along with CSS, and JavaScript,
HTML is a cornerstone technology used to create web pages, as well as to create user
interfaces for mobile and web applications. Web browsers can read HTML files and
render them into visible or audible web pages. HTML describes the structure of
a website semantically along with cues for presentation, making it a markup language,
rather than a programming language.
HTML elements form the building blocks of HTML pages. HTML
allows images and other objects to be embedded and it can be used to create interactive
forms. It provides a means to create structured documents by denoting structural
semantics for text such as headings, paragraphs, lists, links, quotes and other items.
HTML elements are delineated by tags, written using angle brackets. Tags such as
<img /> and <input /> introduce content into the page directly. Others such as
<p>...</p> surround and provide information about document text and may include
other tags as sub-elements. Browsers do not display the HTML tags, but use them to
interpret the content of the page.
HTML can embed scripts written in languages such as JavaScript which affect
the behavior of HTML web pages. HTML markup can also refer the browser to
Cascading Style Sheets (CSS) to define the look and layout of text and other material
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6.2 CASCADING STYLE SHEETS (CSS)
CSS is a style sheet language used for describing the presentation of a document
written in a markup language. Although most often used to set the visual style of web
pages and user interfaces written in HTML and XHTML, the language can be applied
to any XML document, including plain XML, SVG andXUL, and is applicable to
rendering in speech, or on other media. Along with HTML and JavaScript, CSS is a
cornerstone technology used by most websites to create visually engaging webpages,
user interfaces for web applications, and user interfaces for many mobile applications.
CSS is designed primarily to enable the separation of document content from
document presentation, including aspects such as the layout, colors, and fonts. This
separation can improve content accessibility, provide more flexibility and control in the
specification of presentation characteristics, enable multiple HTML pages to share
formatting by specifying the relevant CSS in a separate .css file, and reduce complexity
and repetition in the structural content, such as semantically insignificant tables that
were widely used to format pages before consistent CSS rendering was available in all
major browsers. CSS makes it possible to separate presentation instructions from the
HTML content in a separate file or style section of the HTML file. For each matching
HTML element, it provides a list of formatting instructions. For example, a CSS rule
might specify that "all heading 1 elements should be bold", leaving pure semantic
HTML markup that asserts "this text is a level 1 heading" without formatting code such
as a<bold> tag indicating how such text should be displayed.
This separation of formatting and content makes it possible to present the same
markup page in different styles for different rendering methods, such as on-screen, in
print, by voice (when read out by a speech-based browser or screen reader) and on
Braille-based, tactile devices. It can also be used to display the web page differently
depending on the screen size or device on which it is being viewed. Although the author
of a web page typically links to a CSS file within the markup file, readers can specify a16
different style sheet, such as a CSS file stored on their own computer, to override the
one the author has specified. If the author or the reader did not link the document to a
style sheet, the default style of the browser will be applied. Another advantage of CSS
is that aesthetic changes to the graphic design of a document (or hundreds of
documents) can be applied quickly and easily, by editing a few lines in one file, rather
than by a laborious (and thus expensive) process of crawling over every document line
by line, changing markup.
The CSS specification describes a priority scheme to determine which style rules
apply if more than one rule matches against a particular element. In this so-called
cascade, priorities (or weights) are calculated and assigned to rules, so that the results
are predictable.
6.3 MYSQL SERVER
MYSQL is an open-source relational database management
system (RDBMS);[6] in July 2013, it was the world's second most widely used RDBMS,
and the most widely used open-source client–server model RDBMS. It is named after co-
founder Michael Widenius's daughter, My. The SQL acronym stands for Structured Query
Language. The MYSQL development project has made its source code available under the
terms of the GNU General Public License, as well as under a variety of proprietary
agreements. MYSQL was owned and sponsored by a single for- profit firm, the Swedish
company MYSQL AB, now owned by Oracle Corporation. For proprietary use, several
paid editions are available, and offer additional functionality.
6.4 PHP
PHP is a server-side scripting language designed for web development but also
used as a general-purpose programming language. Originally created by Rasmus
Lerdorf in 1994, the PHP reference implementation is now produced by The PHP
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Group. PHP originally stood for Personal Home Page, but it now stands for the
recursive backronym PHP: Hypertext Preprocessor.
PHP code may be embedded into HTML code, or it can be used in combination
with various web template systems, web content management system and web
frameworks. PHP code is usually processed by a PHP interpreter implemented as
a module in the web server or as a Common Gateway Interface (CGI) executable. The
web server combines the results of the interpreted and executed PHP code, which may
be any type of data, including images, with the generated web page. PHP code may also
be executed with a command-line interface (CLI) and can be used to
implement standalone graphical applications.
The standard PHP interpreter, powered by the Zend Engine, is free
software released under the PHP License. PHP has been widely ported and can be
deployed on most web servers on almost every operating system and platform, free of
charge.
The PHP language evolved without a written formal specification or standard
until 2014, leaving the canonical PHP interpreter as a de facto standard. Since 2014
work has gone on to create a formal PHP specification.
6.5 ANGULAR JAVA SCRIPT
Angular JS (commonly referred to as "Angular" or "Angular.js") is an open-
source web application framework mainly maintained by Google and by a community
of individuals and corporations to address many of the challenges encountered in
developing single-page applications. It aims to simplify both the development and the
testing of such applications by providing a framework for client-side model–view–
controller (MVC) and model–view–view model(MVVM) architectures, along with
components commonly used in rich Internet applications.
The Angular JS framework works by first reading the HTML page, which has
embedded into it additional custom tag attributes. Angular interprets those attributes as18
directives to bind input or output parts of the page to a model that is represented by
standard JavaScript variables. The values of those JavaScript variables can be manually
set within the code, or retrieved from static or dynamic JSON resources.
According to JavaScript analytics service Libscore, Angular JS is used on the
websites of Wolfram Alpha, NBC, Walgreens, Intel, Sprint, ABC News, and
approximately 8,400 other sites out of 1 million tested in July 2015.
Angular JS is the frontend part of the MEAN stack, consisting
of MongoDB database, Express.js web application server framework, Angular.js itself,
and Node.js runtime environment.
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CHAPTER 7
IMPLEMENTATION
7.1 CODING
Test_count.php
<?php
/*********************
1*** Nandhini S *****
2*** Sep 9, 2015 ****
**********************/
/* Following code will match user login credentials
*/ // array for JSON response
$response = array();
// include db connect class
require_once __DIR__ .
'/db_connect.php'; // connecting to db
$db = new DB_CONNECT();
$get_word = "Good";
// get results from student table
$result = mysql_query("SELECT * FROM review_rating WHERE site=2 AND
product='samsung'");
// check for empty result
if(mysql_num_rows($result))
{
$response = array();
while($Rating = mysql_fetch_array($result))
{
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$rating = array();
$rating = $Rating["review_comments"];
array_push($response,$rating);
}
//echo json_encode($response);
$string = implode($response);
$count = substr_count($string,"".$get_word."");
$data = array();
$data["count"] = $count;
$output['data'] = array();
array_push($output['data'],$data);
echo json_encode($output);
}
?>
Db_config.php
<?php
/*********************
1*** Nandhini S *****
2*** July 6, 2015 ****
**********************/
/* All database connection variables */
define('DB_USER', "root"); // db user
define('DB_PASSWORD', ""); // db password (mention your db password here)
define('DB_DATABASE', "ranking"); // database name
define('DB_SERVER', "localhost"); // db server
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?>
Db_connect.php
<?php
/*********************
1*** Nandhini S *****
2*** July 6, 2015 ****
**********************/
/* A class file to connect to database */
class DB_CONNECT {
// constructor
function __construct()
{ // connecting to
database $this-
>connect();
}
// destructor
function __destruct()
{ // closing db
connection $this-
>close();
}
/**
1* Function to connect with database
*/
function connect() {
1/ import database connection variables
require_once __DIR__ . '/db_config.php';
2/ Connecting to mysql database
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$con = mysql_connect(DB_SERVER, DB_USER, DB_PASSWORD) or
die(mysql_error());
$db = mysql_select_db(DB_DATABASE) or die(mysql_error()) or die(mysql_error());
return $con;
}
/**
* Function to close db
connection */
function close() {
// closing db connection
mysql_close();
}
}
?>
Frequency.html
<html ng-
app=""> <head>
<title>Admin Panel</title>
<!-- Custom Theme files -->
<meta name="viewport" content="width=device-width, initial-
scale=1"> <meta http-equiv="Content-Type" content="text/html;
charset=utf-8" /> <!-- Custom CSS files -->
<style type="text/css">@import url("css/style.css");</style>
<link href="css/style.css" rel="stylesheet" type="text/css" media="all" />
<link href="css/bootstrap.css" rel="stylesheet" type="text/css" media="all" />
<!-- Custom JS files -->
<script type="text/javascript" src="js/jquery-1.11.0.min.js"></script>
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<script type="text/javascript" src="js/jquery.min.js"></script>
</head>
<body ng-controller="myUserReview">
<div class="">
<div class="top">
<div class="logo">
<h1>Reviews</h1>
</div>
<div class="top-left-
grid"> <ul>
<li><a href="index.html"><h1 class="gk">Ratings</h1></a></li>
<li><a class="selected" href="frequency.html"><h1
class="questions">Frequency</h1></a></li>
<div class="clearfix"></div>
</ul>
</div>
</div>
<!-- moto --> <div
class="text">
<h1>Moto G (3rd gen)</h1>
</div>
<div class="about-right-list">
<h1>Aspect Ranking</h1>
<!-- moto site 1 -->
<table class="table table-striped">
<h1 style="color:#fff;font-weight:700;font-
size:1.2em;background:#008080;height:50px;padding:15px">Ecom Reviews</h1>
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<form>
<div class="contact-form">
<h1>Positive & Negative Word Frequency</h1>
<input type="text" ng-model="mword1" placeholder="Enter
word"> <input type="submit" ng-click="get_mcount1()"
value="Find"> </div>
</form>
<tbody ng-hide="myVar" style="color:#555;">
<tr>
<td style="width:5%;height:auto;border:none;font-weight:700;">Count</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">{{
mcount1 }}</td>
</tr>
</tbody>
<tbody style="color:#555;">
<tr ng-repeat="x in maspect1">
<td style="width:5%;height:auto;border:none;font-weight:700;">{{ x.aspect }}</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">
{{ x.aspect_rating }}</td>
</tr>
</tbody>
</table>
<!-- moto site 2 -->
<table class="table table-striped">
<h1 style="color:#fff;font-weight:700;font-
size:1.2em;background:#e42217;height:50px;padding:15px"><i>mReviews</i></h1>
<form>
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<div class="contact-form">
<h1>Positive & Negative Word Frequency</h1>
<input type="text" ng-model="mword2" placeholder="Enter
word"> <input type="submit" ng-click="get_mcount2()"
value="Find"> </div>
</form>
<tbody ng-hide="myVar">
<tr>
<td style="width:5%;height:auto;border:none;font-weight:700;">Count</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">
{{ mcount2 }}</td
> </tr>
</tbody>
<tbody style="color:#555;">
<tr ng-repeat="x in maspect2">
<td style="width:5%;height:auto;border:none;font-weight:700;">{{ x.aspect }}</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">
{{ x.aspect_rating }}</td>
</tr>
</tbody>
</table>
</div>
<!-- iphone -->
<div class="text">
<h1>iPhone 7</h1>
</div>
<div class="about-right-list">
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<h1>Aspect Ranking</h1>
<!-- iphone site 1 -->
<table class="table table-striped">
<h1 style="color:#fff;font-weight:700;font-
size:1.2em;background:#008080;height:50px;padding:15px">Ecom
Reviews</h1> <form>
<div class="contact-form">
<h1>Positive & Negative Word Frequency</h1>
<input type="text" ng-model="iword1" placeholder="Enter
word"> <input type="submit" ng-click="get_icount1()"
value="Find"> </div>
</form>
<tbody ng-hide="myVar">
<tr>
<td style="width:5%;height:auto;border:none;font-weight:700;">Count</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">
{{ icount1 }}</td>
</tr>
</tbody>
<tbody style="color:#555;">
<tr ng-repeat="x in iaspect1">
<td style="width:5%;height:auto;border:none;font-weight:700;">{{ x.aspect }}</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">
{{ x.aspect_rating }}</td>
</tr>
</tbody>
</table>
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<!-- iphone site 2 -->
<table class="table table-striped">
<h1 style="color:#fff;font-weight:700;font-
size:1.2em;background:#e42217;height:50px;padding:15px"><i>mReviews</i></h1>
<form>
<div class="contact-form">
<h1>Positive & Negative Word Frequency</h1>
<input type="text" ng-model="iword2" placeholder="Enter
word"> <input type="submit" ng-click="get_icount2()"
value="Find"> </div>
</form>
<tbody ng-hide="myVar">
<tr>
<td style="width:5%;height:auto;border:none;font-weight:700;">Count</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">{{
icount2 }}</td>
</tr>
</tbody>
<tbody style="color:#555;">
<tr ng-repeat="x in iaspect2">
<td style="width:5%;height:auto;border:none;font-weight:700;">{{ x.aspect }}</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">{{
x.aspect_rating }}</td>
</tr>
</tbody>
</table>
</div>
28
<!-- samsung -->
<div class="text">
<h1>Samsung Galaxy
Note5</h1> </div>
<div class="about-right-list">
<h1>Aspect Ranking</h1>
<!-- samsung site 1 -->
<table class="table table-striped">
<h1 style="color:#fff;font-weight:700;font-
size:1.2em;background:#008080;height:50px;padding:15px">Ecom
Reviews</h1> <form>
<div class="contact-form">
<h1>Positive & Negative Word Frequency</h1>
<input type="text" ng-model="sword1" placeholder="Enter word">
<input type="submit" ng-click="get_scount1()" value="Find">
</div>
</form>
<tbody ng-hide="myVar" style="color:#555;">
<tr>
<td style="width:5%;height:auto;border:none;font-weight:700;">Count</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">{{
scount1 }}</td>
</tr>
</tbody>
<tbody style="color:#555;">
<tr ng-repeat="x in saspect1">
<td style="width:5%;height:auto;border:none;font-weight:700;">{{ x.aspect }}</td>
29
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">{{
x.aspect_rating }}</td>
</tr>
</tbody>
</table>
<!-- samsung site 2 -->
<table class="table table-striped">
<h1 style="color:#fff;font-weight:700;font-
size:1.2em;background:#e42217;height:50px;padding:15px"><i>mReviews</i></h1>
<form>
<div class="contact-form">
<h1>Positive & Negative Word Frequency</h1>
<input type="text" ng-model="sword2" placeholder="Enter word">
<input type="submit" ng-click="get_scount2()" value="Find">
</div>
</form>
<tbody ng-hide="myVar" style="color:#555;">
<tr>
<td style="width:5%;height:auto;border:none;font-weight:700;">Count</td>
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">{{
scount2 }}</td>
</tr>
</tbody>
<tbody style="color:#555;">
<tr ng-repeat="x in saspect2">
<td style="width:5%;height:auto;border:none;font-weight:700;">{{ x.aspect }}</td>
30
<td style="width:9%;height:auto;border:none;font-weight:400;text-align:center;">{{
x.aspect_rating }}</td>
</tr>
</tbody>
</table>
</div>
<script type="text/javascript" src="js/angular_data.js"></script>
<script type="text/javascript" src="js/angular-1.0.7.js"></script>
</div>
</body>
</html>
Get_iaspect.php
<?php
/*********************
1*** Nandhini S *****
2*** Sep 9, 2015 ****
**********************/
/* Following code will match user login credentials
*/ // array for JSON response
$response = array();
// include db connect class
require_once __DIR__ .
'/db_connect.php'; // connecting to db
$db = new
DB_CONNECT(); // get
results from student table
31
$result = mysql_query("SELECT AVG(camera_rating) AS Rating,
AVG(battery_rating) AS Rating1, AVG(storage_rating) AS Rating2,
AVG(price_rating) AS Rating3,
AVG(usability_rating) AS Rating4, AVG(apps_rating) AS Rating5, AVG(3g_rating) AS
Rating6 FROM review_rating WHERE site=1 AND product='iphone'");
1/ check for empty result
if(mysql_num_rows($result))
{
$AverageRating = mysql_fetch_array($result);
$rating = array();
$rating["camera_rating"] = $AverageRating["Rating"].':Camera';
$rating["battery_rating"] = $AverageRating["Rating1"].':Battery';
$rating["storage_rating"] = $AverageRating["Rating2"].':Storage';
$rating["price_rating"] = $AverageRating["Rating3"].':Price';
$rating["usability_rating"] = $AverageRating["Rating4"].':Usability';
$rating["apps_rating"] = $AverageRating["Rating5"].':Apps';
$rating["3g_rating"] = $AverageRating["Rating6"].':3G';
2/ sort value in descending order
arsort($rating); //
print_r($rating);
1/ making value to
string $string = array();
$string = implode(",",$rating);
2/ making string value to
array $array1 = array();
$array1 = explode(",",$string);
3/ count length of array
32
$len =
count($array1); $i=0;
$response['rating']=
array(); while($i<$len)
{
$array2 = array();
$array2 = explode(":",$array1[$i]);
$rating=array();
$rating["aspect_rating"] = $array2[0];
$rating["aspect"] = $array2[1];
$i++; array_push($response['rating'],
$rating);
}
echo json_encode($response);
}
?>
Get_ifrequency1.html
<?php
/*********************
1*** Nandhini S *****
2*** Sep 9, 2015 ****
**********************/
/* Following code will match user login credentials
*/ // array for JSON response
$response = array();
// include db connect class
require_once __DIR__ . '/db_connect.php';
33
// connecting to db
$db = new
DB_CONNECT(); // check for
post data
$data = json_decode(file_get_contents("php://input"));
$get_word = mysql_real_escape_string($data->word); //
get results from student table
$result = mysql_query("SELECT * FROM review_rating WHERE site=1 AND
product='iphone'");
// check for empty result
if(mysql_num_rows($result))
{
$response = array();
while($Rating = mysql_fetch_array($result))
{
$rating = array();
$rating = $Rating["review_comments"];
array_push($response,$rating);
}
//echo json_encode($response);
$string = implode($response);
$count = substr_count($string,"".$get_word."");
$data = array();
$data["count"] = $count; //
$output['data'] = array();
//array_push($output['data'],$data);
echo json_encode($data);?>
34
Get_irating1.php
<?php
/*********************
1*** Nandhini S *****
2*** Sep 9, 2015 ****
**********************/
/* Following code will match user login credentials */
// array for JSON response
$response = array();
// include db connect class
require_once __DIR__ .
'/db_connect.php'; // connecting to db
$db = new
DB_CONNECT(); // get
results from student table
$result = mysql_query("SELECT
AVG(((camera_rating+battery_rating+storage_rating+price_rating+usability_rating+ap
ps_rating+3g_rating)/0.7)/7)
AS Rating FROM review_rating WHERE site=1 AND product='iphone'");
// check for empty result
if(mysql_num_rows($result))
{
$response['rating'] = array();
while($Rating = mysql_fetch_array($result))
{
$rating = array();
$rating["rating"] = $Rating["Rating"];
array_push($response['rating'],$rating);
35
//echo json_encode($response);
$string = implode($response);
$count = substr_count($string,"".$get_word."");
$data = array();
$data["count"] = $count; //
$output['data'] = array();
//array_push($output['data'],$data);
echo json_encode($data);
}
// success //
$response["success"] = 1; //
echoing JSON response
echo json_encode($response);
}
?>
36
CHAPTER 8
SNAPSHOTS
8.1 USER LOGIN
Fig 8.1 login screen for website1
8.2 ECOM REVIEWS FOR PRODUCTS
Fig 8.2 ecom reviews
37
8.3 USER LOGIN
Fig 8.3 login screen for website2
8.4 MREVIEWS FOR PRODUCTS
Fig 8.4 mReview
38
8.5 FREQUENCY FOR ECOM REVIEWS OF PRODUCTS
Fig 8.5 frequency for ecom reviews
8.6 FREQUENCY FOR MREVIEWS OF PRODUCTS
Fig 8.6 frequency for mreviews
39
8.7 OVERALL RATING OF PRODUCTS
Fig 8.7 Overall Rating
40
CHAPTER 9
SOFTWARE TESTING
9.1 GENERAL
The purpose of testing is to discover errors. Testing is the process of trying to
discover every conceivable fault or weakness in a work product. It provides a way to
check the functionality of components, sub assemblies, assemblies and/or a finished
product It is the process of exercising software with the intent of ensuring that then
Software system meets its requirements and user expectations and does not fail in an
unacceptable manner. There are various types of test. Each test type addresses a specific
testing requirement.
9.2 UNIT TESTING
Unit testing is usually conducted as part of a combined code and unit test phase of
the software lifecycle, although it is not uncommon for coding and unit testing to be
conducted as two distinct phases.
TEST STRATEGY AND APPROACH
Field testing will be performed manually and functional tests will be written in
detail.
TEST OBJECTIVES
1. All field entries must work properly.
2. Pages must be activated from the identified link.
3. The entry screen, messages and responses must not be delayed.
FEATURES TO BE TESTED
1. Verify that the entries are of the correct format
2. No duplicate entries should be allowed
3. All links should take the user to the correct page.
41
9.3 INTEGRATION TESTING
Software integration testing is the incremental integration testing of two or more
integrated software components on a single platform to produce failures caused by
interface defects.
The task of the integration test is to check that components or software
applications, e.g. components in a software system or – one step up – software
applications at the company level – interact without error.
TEST RESULTS: All the test cases mentioned above passed successfully. No defects
encountered.
9.4 ACCEPTANCE TESTING
User Acceptance Testing is a critical phase of any project and requires significant
participation by the end user. It also ensures that the system meets the functional
requirements.
TEST RESULTS: All the test cases mentioned above passed successfully. No defects
encountered.
9.5 FUNCTIONAL TESTING
Functional tests provide systematic demonstrations that functions tested are
available as specified by the business and technical requirements, system
documentation, and user manuals.
Functional testing is centered on the following items:
Valid Input : identified classes of valid input must be accepted.
Invalid Input : identified classes of invalid input must be rejected.
Functions : identified functions must be exercised.
Output : identified classes of application outputs must be exercised.
Systems/Procedures : interfacing systems or procedures must be invoked.
42
Organization and preparation of functional tests is focused on requirements, key
functions, or special test cases. In addition, systematic coverage pertaining to identify
Business process flows; data fields, predefined processes, and successive processes
must be considered for testing. Before functional testing is complete, additional tests are
identified and the effective value of current tests is determined.
9.6 SYSTEM TESTING
System testing ensures that the entire integrated software system meets
requirements. It tests a configuration to ensure known and predictable results. An
example of system testing is the configuration oriented system integration test. System
testing is based on process descriptions and flows, emphasizing pre-driven process links
and integration points.
9.7 WHITE BOX TESTING
White Box Testing is a testing in which in which the software tester has
knowledge of the inner workings, structure and language of the software, or at least its
purpose. It is purpose. It is used to test areas that cannot be reached from a black box
level.
9.8 BLACK BOX TESTING
Black Box Testing is testing the software without any knowledge of the inner
workings, structure or language of the module being tested. Black box tests, as most
other kinds of tests, must be written from a definitive source document, such as
specification or requirements document, such as specification or requirements
document. It is a testing in which the software under test is treated, as a black box .you
cannot “see” into it. The test provides inputs and responds to outputs without
considering how the software works.
43
CHAPTER 10
APPLICATIONS
Aspect ranking is useful to a wide range of real world applications. We here
investigate its ability in two applications, i.e. document-level sentiment classification on
review documents, and extractive review summarization. Paying more attention to the
important aspect is very useful while taking decisions about product.Firms can focus on
improving and enhancing the quality of product aspect and enhance the reputation of
the product more effective. The goal of document-level sentiment classification is to
determine the overall opinion of a given review document. A review document often
expresses various opinions on multiple aspects of a certain product. The opinions on
different aspects might be in contrast to each other, and have different degree of impacts
on the overall opinion of the review document. As aforementioned, for a particular
product, there is an abundance of consumer reviews available on the internet. However,
the reviews are disorganized. It is impractical for user to grasp the overview of
consumer reviews and opinions on various aspects of a product from such enormous
reviews.
44
CONCLUSION
In this project, we have surveyed the reference paper releated to Aspect
identification, Sentiment classification. We have planned to identify the important
aspects of a product from online consumer reviews. Our supposition is that the
important aspects of a product should be the aspects that are frequently commented by
consumers and consumers opinions on the important aspects greatly pressure their
overall opinions on the product. Based on this assumption, we will try to develop an
aspect ranking algorithm which will identify the important aspects by concurrently
considering the aspect frequency and the pressure of consumers’ opinions given to each
aspect on their overall opinions. This work introduces a method to extract features from
the product reviews, classify into positive, negative or neutral and rank aspects based on
consumer's opinion. By aspect ranking, consumer's can conveniently make a wise
purchasing decisions by paying more attentions to the important aspects, while firms
can focus on improving the quality of aspects and thus enhance product reputation
effectively.
FUTURE ENCHANCEMENT
In this paper, we have surveyed the reference paper related to Aspect
identification, Sentiment classification. We have planned to identify the important
aspects of a product from online consumer reviews. Our supposition is that the
important aspects of a product should be the aspects that are frequently commented by
consumers and consumers’ opinions on the important aspects greatly pressure their
overall opinions on the product. Based on this assumption, we will try to develop an
aspect ranking algorithm which will identify the important aspects by concurrently
considering the aspect frequency and the pressure of consumers’ opinions given to each
aspect on their overall opinions.
45
REFERENCES
[1]. Zheng-JunZha, Jianxing Yu, Jinhui Tang,Meng Wang, and Tat-Seng Chua,
“Product AspectRanking and Its Applications”, IEEETRANSACTION ON
KNOWLEDGE AND DATA ENGINEERING, vol.26,no.5, May 2014
[2]. Rutuja Tikait, Ranjana Badre and Mayura Kinikar, “Product aspect Ranking
Techniques A Survey”, IJIRCCE, Nov 2014.
[3]. T. L. Wong and W. Lam, “Hot item mining and summarization from multiple
auction web sites,” in Proc. 5th IEEE ICDM,Washington, DC, USA, 2005, pp. 797–
800.
[4]. Wong, T.L., Lam, W.: Learning to extract and summarize hot item features from
multiple auction web sites. Knowl. Inf. Syst. 14(2), lexical and syntactic features. In:
Proc. of the IEEE International 143{160 (2008).
[5]. M. Hu and B. Liu, “Mining and summarizing customer reviews,” inProc. SIGKDD,
Seattle, WA, USA, 2004, pp. 168–177.
[6]. Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proc. of
American Association for Artificial Intelligence Conference. pp. 755{760 (2004).
[7]T. L. Wong and W. Lam, “Hot item mining and summarization from multiple
auction web sites,” in Proc. 5th IEEE ICDM, Washington, DC, USA, 2005, pp. 797–
800.
46
[8] O. Etzioni et al., “Unsupervised named-entity extraction from the web: An
experimental study,” J. Artif. Intell., vol. 165, no. 1, pp.91–134. Jun. 2005.
[9] Bing Liu, “Sentiment Analysis and Opinion Mining” pp.7-140,2012.
[10] V. Gupta and G. S. Lehal, “A survey of text summarization extractive techniques,”
J. Emerg. Technol. Web Intell., vol. 2, no. 3, pp. 258–268, 2010.
47