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.

1. By
Datla Aditya
Koya Siva
Prof Dr. Ramesh Sharda Pappoppula Veerendra

2. • 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.

3.  Over $59 Billion generated over the Black
Friday weekend.
 Predicting consumer behavior is crucial to
maximize revenues.
 To deliver a consistent, positive customer
experience.

6. Demonstration

8. Retailers:
Products : Blu-Ray Player, Camera, Tablet,
Jewelry
Brands :
Strange : Bill Gates

9.  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

10.  Bill Gates, Black Friday, Cyber Monday, Deals.

11.  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.

12. 900 600
450

13. 300
-100

14. 150 650
800 600

15.  Retailer with most positive response this
Thanksgiving sale:
900
 Brand with most positive response this
Thanksgiving sale:
800

16. Thank You