fitman webinar 2015 06 unstructured & social data analytics (anzler)
TRANSCRIPT
FITMAN Webinars 116/06/2015
Unstructured & Social Data Analytics Specific Enabler
FITMAN Anlzer
FITMAN WebinarsJune 16th, 2015
Dr. Fenareti LampathakiNational Technical University of Athens (NTUA)
Why to get it• A new age of engagement and collaboration has emerged with
the proliferation of user-generated content
• The quantity of information in the world is soaring, with businesses, governments and society only starting to tap its potential
• Harnessing collective intelligence represents a challenge for any manufacturing industry.
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• To understand what is discussed online about any topic of interest, instantly catching the market realm
• To early identify sentiments about products and brands, thus preventing potential damage to the corporate reputation
• To detect on time user trends in order to be incorporated in product design
Unders
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What you get
The FITMAN “Unstructured and Social Data Analytics” Specific Enabler (FITMAN-Anlzr) extracts unstructured data from selected web resources and social data
from selected social networks and turns such user-generated content to knowledge to be used for the benefit of manufacturers.
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A web infrastructure for Digital Factories to ….
Collect Store Process Visualize Interact with
Unstructured & Social Data
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Overview
Keyword- & Account-based Information Acquisition
Information Filtering
Sentiment Analysis
Trend Analysis
Visualization of User Generated Content
(UGC)
Removal of “noise” from retrieved social data
Automatic classification of opinions with sentiments
Investigation of “hidden” emerging keywords
Calculation of terms frequency
Track accounts and keywords
Create and store reports, customized on specific topics of interest
Continuously monitor a domain of interest
Real-time validation of sentiment tagsRetrieval of RSS feeds from UDA GE
Navigate to “live” results
Preparatory training of sentiment algorithms
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…………
Architecture & Interactions
Trend & Sentiment Analysis Engine
Processing /Querying Engine
Visualization & Report Creator Engine
Data Connectors
Storage System
Scalable… Transferable… Extensible… Open-source…
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Charts
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Open Source: MIT LicensePermitting any kind of reuse of software
provided all copies of the new software
include a copy of the original
MIT License terms.
Terms & Conditions
Source Code
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Within the scope of the FI-PPP Programme
• Free use of the software for members till the end of the
Programme
• FITMAN provides free support to members till the end of the
Programme
Out of FI-PPP Programme scope
• All software assets are free and Open Source (MIT license
applies globally)
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Provisioning
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• As a Virtual Machine image (ovf)– ftp://repo.nimbus-ware.com/fitman-anlzer.zip (Ubuntu installation).
Deploy on any Linux, Windows, MacOS system through VMware/VirtualBox to test. Migrate later to a physical system.
• As source code– SourceForge: http://sourceforge.net/p/fitman-
fi/code/ci/master/tree/SE/NTUA/Anlzer/
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Purpose of the Demonstration
As the marketing manager of a furniture manufacturer, I want to track what is discussed online about all competing brands in order to decide how to best design the marketing campaign of the Summer / Autumn 2014 sofas collection…
I. To conduct a competitors’ analysis
As the product manager of a furniture manufacturer, I seek for inspiration in order to decide which is the most appropriate style for the Winter 2015 sofas collection …
II. To detect sentiments and trending characteristics of products based on their online buzz
III. To unveil emerging, “hidden” user trends to be early incorporated in product design
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Scenario: Project Settings
#imm14,#mikado,#platecma,#habitat,#aidima,#livingroom,#ikea,#natuzzi,#concretefurniture,#spainfurniture,#MDW14,#coolfurniture,
#furnituretrends, #furniture, #ArtDesign,#furnitures,#interiordesign,#HomeDesignIdeas,#homedecor,@thecoolhunter,@HermanMiller,@kartellpeople,@ArtekPress,@E1E4furniture,@th_furniture, @thecoolhunter, @HermanMiller, @kartellpeople,
@artek_global, @E1E4furniture, @th_furniture, @koointernationa, @diarioDESIGN_en, @AndreuWorld, @homedesigning, @PicoFurniture,
@MueblesCanella, @infurma, @BoConcept, …
IKEAUK, Natuzzi.USA, furniturefashion,
Thecoolhunterofficial, dezeen, Kartell, knollinc,
ompchairs, vintageandchicblog,
Koo.International
http://www.remodelista.com/list/furniture/rss,
http://feeds.feedburner.com/FreshInspirationForYourHome/,
http://www.madeindesign.co.uk/rss/catalog/special/store_id/2/cid/
0/,http://feeds.feedburner.com/Tren
dHuntercom
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Scenario: The User Perspective
I want to monitor trends for furniture, so I access the FITMAN Unstructured & Social
Data Analytics SE
I provide the necessary training
material
Publish UGC
Automatically Collect data
I view collected data near real-time
I navigate to the analysis & refine results
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Connectors
I select search terms to generate data reports
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Users
I create a new project for the domain I am
interested in
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Q&A
• Questions?
More information about FITMAN Anlzer can be found in the FITMAN Catalogue
(http://catalogue.fitman.atosresearch.eu/enablers/unstructured-and-social-data-analytics)
Contact us at: [email protected]
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Thanks for your attention!
Dr. Fenareti Lampathaki (NTUA)
Join Us!
fenareti.lampathaki @[email protected]
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