tthustla / twitter_sentiment_analysis_part7

Twitter sentiment analysis part 7: Phrase modeling + Doc2Vec

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Another Twitter Sentiment Analysis with Python - Part 7

Attached Jupyter Notebook is the part 7 of the Twitter Sentiment Analysis project I implemented as a capstone project for General Assembly's Data Science Immersive course.

Accompanying blog posts can be found from my Medium account: https://medium.com/@rickykim78

Below implementations can be found in the attached notebook.

Phrase Modelling + Doc2Vec

prerequisite: Gensim

pip install gensim

varying n-gram phrase detected corpus experimented with below models

  • DBOW (Distributed Bag of Words)
  • DMC (Distributed Memory Concatenated)
  • DMM (Distributed Memory Mean)
  • DBOW + DMC
  • DBOW + DMM

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Twitter sentiment analysis part 7: Phrase modeling + Doc2Vec


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