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Sentiment Analysis

Description

This project was born out of our curiosity to delve into the world of machine learning. We wanted to explore what all could be possible given a simple peice of code, a little data, and some help from our professors. We ended up with a fairly accurate sentiment analysis machine which can differentiate between positive and negative sentiments when given a sentence.

Prerequisites

  • Python 3.9+
  • TensorFlow
  • Keras
  • Pandas
  • MatPlotLib

Credits

Complete Project

Due to the limitations of GitHub, all the files and all the trained models could not be uploaded, though you can download the complete zipped project from google drive.
Note: The project is compressed in a 1:3 ratio and might take some time to decompress.

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  • Jupyter Notebook 83.2%
  • PureBasic 11.9%
  • Python 4.9%