Skip to content

cleaners modules for the sentiment analysis preprocessing on Twitter data in Python

License

Notifications You must be signed in to change notification settings

fmaglia/SA_cleaners

Repository files navigation

SA_cleaners

Prerequites:

  • nltk.tokenize (sudo pip install -U nltk)
  • tkinter
  • enchant.checker

Input: file .tsv with many raws that are labeled

(" tweet_id positive The apple is gooood #fruits @pippo

tweet_id negative My moother eat fruits!!!!

....")

Output file .tsv cleaned

You can choose with an interactive GUI to clean your data using various techniques

To execute the GUI: launch cleaner_GUI.py

Article available at: http://ceur-ws.org/Vol-1748/paper-06.pdf

About

cleaners modules for the sentiment analysis preprocessing on Twitter data in Python

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages