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BITM Term Project By Datla Aditya Koya Siva Pappoppula Veerendra Prof Dr. Ramesh Sharda

Twitter Mining & Sentiment Analysis

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Using Twitter for marketing purpose. We have collected tweets from twitter over the Thanks Giving '13 weekend. And performed Text Mining and Sentiment Analysis on the tweets in an attempt to understand how customers reacted to various deals and promotions.

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Page 1: Twitter Mining & Sentiment Analysis

BITM Term Project

ByDatla Aditya

Koya SivaPappoppula VeerendraProf Dr. Ramesh Sharda

Page 2: Twitter Mining & Sentiment Analysis

Objective :

• Social media analytics• Focusing on customer views• Targeting the Black Friday and Cyber Monday season to get the customer’s views on sales and deals.

Page 3: Twitter Mining & Sentiment Analysis

Over $59 Billion generated over the Black Friday weekend.

Predicting consumer behavior is crucial to maximize revenues.

To deliver a consistent, positive customer experience.

Why Black Friday & Cyber Monday?

Page 4: Twitter Mining & Sentiment Analysis
Page 5: Twitter Mining & Sentiment Analysis

Game Plan

Page 6: Twitter Mining & Sentiment Analysis

Tool Demonstration

Demonstration

Page 7: Twitter Mining & Sentiment Analysis

Most Frequent Terms

Page 8: Twitter Mining & Sentiment Analysis

Analysis

Retailers:

Products : Blu-Ray Player, Camera, Tablet, Jewelry

Brands :

Strange : Bill Gates

Page 9: Twitter Mining & Sentiment Analysis

Walmart: Bestbuy, fires, savemoney, Target, handgun

Target: Bestbuy, books, Walmart, pjs, Kindle, Galaxynoteii

Ebay: Apple, clearance, streetwear, mobile, shirt

Amazon: giftcards, giftideas, Cybermonday, DVD, Bluray

Billgates: spread, givingtuesday, Blackfriday, sale, sell

Most Associated Terms

Page 10: Twitter Mining & Sentiment Analysis

Bill Gates, Black Friday, Cyber Monday, Deals.

Strange Association

Page 11: Twitter Mining & Sentiment Analysis

Sentiment Analysis Sentiment analysis or opinion mining.

Sentiment Score is calculated.

The opinion lexicon made by Hu and Liu .

Score = no. of positive words – no. of negative words.

Page 12: Twitter Mining & Sentiment Analysis

Sentiment Analysis on Retailers

900 600

450

Page 13: Twitter Mining & Sentiment Analysis

Sentiment Analysis on Retailers

-100

300

Page 14: Twitter Mining & Sentiment Analysis

Sentiment Analysis on Brands

600800

650150

Page 15: Twitter Mining & Sentiment Analysis

Retailer with most positive response this Thanksgiving sale:

Brand with most positive response this Thanksgiving sale:

Conclusion

900

800

Page 16: Twitter Mining & Sentiment Analysis

Thank You