Social Media Analysis of Tweets on Relay Food

MBA651 - Marketing Analytics

Prof. Richard Shang

Week 6 - Social Media Analytics

1. Word cloud of tweets on Relay Food

##    like    good    just   great   taste     one product     can  flavor 
##    1963    1590    1330    1312    1305    1267    1152    1118    1074 
##    love  coffee    will   chips    food  really     tea     get    dont 
##    1033    1012    1005     967     903     852     835     798     767 
##    much  little 
##     741     692

2. Topic Classification

Identify tweets complaining product price of Relay Food

3. Sentiment Analysis

Positive sentiment: score >0

Negative sentiment: score <0

Neutral sentiment: score = 0

4. Tweets posting time by gender of Relay’s customers