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Classification of tweets into positive and negative using classifiers like SVM, Logistic Regression, Naive bayes. Implementation of porter stemmer algorithm.

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rushitjasani/Sentiment-Analysis-of-tweets

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Sentiment Analysis Of Tweets

There are three folders

  • Document - Contains all the document part
  • Output - Contains graphs and final output data
  • src - Contains actual code of the project

Files that contain final code:

  • porter_stemmer.py
  • Naive_Bayes.ipynb
  • Logistic Regression.ipynb
  • NLTK.ipynb
  • SVM.ipynb
  • data_process_fb_amazon.ipynb
  • process_split_store.ipynb

Rest other file contains the code written during intermediate state and testing purpose.

By:-

  • Sopnesh Gandhi
  • Rushitkumar Jasani
  • Priyendu Mori
  • Niharika Khare

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Classification of tweets into positive and negative using classifiers like SVM, Logistic Regression, Naive bayes. Implementation of porter stemmer algorithm.

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