/Understanding-the-Meaning-of-Emoji-in-Mobile-Social-Payments

Primary LanguagePythonMIT LicenseMIT

Understanding the Meaning of Emoji in Mobile Social Payments

This project uses the external emoji library, the nltk library, the gensim library, the pandas library, and the numpy library.

Documentation
  • co_oc*.py - Files that showcase the co-occurrence code.
  • emoji_grame.py, emoji_grame2.py, n4ModE.py, n4ModN.py, trials.py, trials2.py, trials3.py - Files that all showcase n-grame code from n=1, n=2, n=3, and n=4.
  • final_codings.csv - Encoding of top common emojis into their categories and hedonic and/or utilitarian characteristic.
  • flattenModE.py - Flattens the heavy-duty dataset into a more streamlined version that's easier to load into memory.
  • lda*.py, overallTM*.py, topicModelling*.py - Files that do LDA topic modelling