Sentiment-Analysis on Yelp-Reviews

Project Info

  • Built a Data Pipeline that involves Preprocessing of Data, Tokenization, Embedding, Modeling, and Evaluation.
  • Natural Language Processing strategies are used to analyze Yelp reviews by acquiring sentiment analysis from the data using a Machine Learning Classification technique, namely Naive Bayes, which works on Bayes Theorem.
  • Acquired a model with Accuracy of 90% and performed well on the Test Data.

    • Technology