Twitter Mining & Sentiment Analysis

Post on 10-May-2015

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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.

transcript

BITM Term Project

ByDatla Aditya

Koya SivaPappoppula VeerendraProf Dr. Ramesh Sharda

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.

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?

Game Plan

Tool Demonstration

Demonstration

Most Frequent Terms

Analysis

Retailers:

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

Brands :

Strange : Bill Gates

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

Bill Gates, Black Friday, Cyber Monday, Deals.

Strange Association

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.

Sentiment Analysis on Retailers

900 600

450

Sentiment Analysis on Retailers

-100

300

Sentiment Analysis on Brands

600800

650150

Retailer with most positive response this Thanksgiving sale:

Brand with most positive response this Thanksgiving sale:

Conclusion

900

800

Thank You