Project IV: Natural Language Processing Post Election tweets with Python NLTK.

Created a tool using NLTK to:

  • Find the number of unique words in the file
  • Find the top 10 most frequent tokens in the file.
  • Remove empty rows and duplicates
  • Remove non-alphanumeric characters
  • Remove stop words
  • Perform a Part of speech tagging
  • Create a word cloud of the cleaned data

Word Cloud of Cleaned Tweets

Code provided upon request.