PEPing tweet_sentiment
Adding helper function to convert TSV files to dictionaries
removing unused; printing tweet text
calculating tweet sentiment
Merge branch 'problem-2' into ex1
adding top_ten hashtags
switching frequencies to floats
fixing output format
Merge branch 'problem-6' into ex1
adding frequency.py init
removing conversion to lowercase
switching tokenising from regex \w to simple whitespace ;_; grader
Merge branch 'problem-4' into ex1
happiest-state init
adding helper to get country code from tweets
Adding calculate_score function
Adding extract state name function
Adding update_tally function
Adding tweet processing
Calculating final scores