Analyzing twitter API data
assign sentiment to words used in tweets track frequency of hashtags and determine top ten used determine happiest state by tweet sentiment and location tag
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- frequency.py 30 additions, 0 deletionsfrequency.py
- happiest_state.py 125 additions, 0 deletionshappiest_state.py
- problem_1_submission.txt 20 additions, 0 deletionsproblem_1_submission.txt
- term_sentiment.py 42 additions, 0 deletionsterm_sentiment.py
- top_ten.py 30 additions, 0 deletionstop_ten.py
- tweet_sentiment.py 36 additions, 0 deletionstweet_sentiment.py
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