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This repository has been archived by the owner on May 7, 2021. It is now read-only.

This repository contains the work done as a part of Natural Language Processing value added course handled by Dr. Sowmya S Sundaram

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MaheshBharadwaj/TweetSentimentClassification

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Multi Class Tweet Sentiment Classification

This repository presents two approaches to classify tweets into 5 classes based on their sentiment:

  • Extremely Negative
  • Negative
  • Neutral
  • Positive
  • Extremely Positive

It is recommended to run the code in a GPU backend with ~15Gb VRAM.

Dataset

The dataset is available on kaggle

Approaches Used:

Please refer to the report for further information on the preprocessing procedures used and results obtained.

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This repository contains the work done as a part of Natural Language Processing value added course handled by Dr. Sowmya S Sundaram

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