Sentiment Analysis Costa Coffee and Starbucks

N.Ire and Mainland U.K.

By David Bourke

Summary of Presentation•What is Sentiment Analysis. Twitter• 3 Different types of Twitter Searches.•Rapidminer Extensions.•Collecting the Data. Using Geo Location•Cleaning The Data. •Predictive Modelling. Polarity.•Results (1)Word Lists. (2)Charts. Polarity & Gender •Q and A.

Twitter Searches• Twitter Search Data is Pulled.

• Twitter Streaming Data is pushed. 2% - 40%

• Twitter Firehose Data is pushed. Guaranteed 100%

Rapidminer Extensions• Search Twitter

• Text Processing

• Analyse Sentiment Aylien.com (3rd Party)

• Extract Gender Namsor.com (3rd Party)

Collecting The Data Geo Location Points.

• Magherfelt N.Ire

• Falkirk• Leeds• Norwich Airport• Shrewsbury• Stonehouse• Exeter• London

Cleaning The Data

• Remove Duplicates• Tokenize (Non Letters) • Transform Cases ( CAPITAL LETTERS to lower case)• Replace # @ Link• Stop Words (and) (the)• Stemming (Reading Read (ing)

Predictive Modelling Methods Used

• Naïve Bayes• K NN• Decision Tree• Random Forest• Deep Leaning

Most Common WordsCosta Starbucks

• Costa Starbucks• Christmas Christmas• Hot Chocolate Hot Chocolate• Ginger Bread Hot Fudge• Cup Cup

Summary of Twitter Data

• Costa Coffee 1184 Starbucks 8457

• Starbucks has 8 times more Twitter activity than Costa Coffee.

• Starbucks has very small amount of Negative Twitter Data.

Q & A