sentiment analysis on public comments data

21
CONSUMER SENTIMENT ON MIDRANGE SEDANS FARHAN HABIB SATHISH KUMAR PATTURAJ TAO LIU

Upload: sathish-kumar-patturaj

Post on 08-Aug-2015

26 views

Category:

Data & Analytics


0 download

TRANSCRIPT

Page 1: Sentiment Analysis on public comments data

CONSUMER SENTIMENT ON MIDRANGE SEDANS

FARHAN HABIB

SATHISH KUMAR PATTURAJ

TAO LIU

Page 2: Sentiment Analysis on public comments data

BACKGROUND•About 1000 Customers’ reviews for the four best selling small compact sedans in US from KBB.com

•Four small compact sedans are Honda Civic, Toyota Corolla, Chevrolet Cruze and Volkswagen Jetta

•Our goal is to find what customers like and dislike based on their reviews

Page 3: Sentiment Analysis on public comments data

CONSUMER REVIEW FROM KBB.COM

Page 4: Sentiment Analysis on public comments data

DATASET

• Created a data set from the reviews of the four sedans from the Kelly Blue Book website: http://www.kbb.com/

Page 5: Sentiment Analysis on public comments data

TOPIC ANALYSIS• Extract main points from 1000s of comments

• Insights on consumer feelings about the brand, product.

Page 6: Sentiment Analysis on public comments data

TOPIC ANALYSIS

Page 7: Sentiment Analysis on public comments data

Pros

Page 8: Sentiment Analysis on public comments data

CONS

Page 9: Sentiment Analysis on public comments data

TOPIC INFERENCES

•Customers are more happy on mileage and looks on all the 4 cars.

•But worried about the road noise and the absence of power back seat.

Page 10: Sentiment Analysis on public comments data

SENTIMENT ANALYSIS

• Performed using R

• Compared the words in the comments to the words in the positive and negative word files and assigned appropriate sentiment scores to the comments.

Page 11: Sentiment Analysis on public comments data

SENTIMENT HISTOGRAM USING R

Page 12: Sentiment Analysis on public comments data

SENTIMENT SCORE INTERPRETATIONS

•Used 1-way anova to determine the best model in the segment according to segment.

Page 13: Sentiment Analysis on public comments data

OVERALL

Page 14: Sentiment Analysis on public comments data

POSITIVE

Page 15: Sentiment Analysis on public comments data

NEGATIVE

Page 16: Sentiment Analysis on public comments data

SENTIMENT ANALYSIS

Inferences

• Jetta’s customers are either completely satisfied or completely dissatisfied.

•Corolla and Cruze – stable

•Civic has low sentiment

Page 17: Sentiment Analysis on public comments data

CORRESPONDENCE ANALYSIS

•Analyzed to find which cons topic is associated with more negative sentiment scores.

Page 18: Sentiment Analysis on public comments data

CORRESPONDENCE ANALYSIS(ALL CARS-CONS)

Page 19: Sentiment Analysis on public comments data

CONS

Page 20: Sentiment Analysis on public comments data

CORRESPONDENCE ANALYSIS

Inferences

•Topics 2 and 4 are more negatively viewed than other cons topics

•More road noise and cheap interiors

•Manufacturers need to focus on these defects immediately to be ahead of competition.

Page 21: Sentiment Analysis on public comments data

THE END