Tweet Sentiment Extraction

Tweet Sentiment Extraction

Table of Contents

Table of Contents

  1. Introduction
  2. Usage of ML/DL for this problem
  3. Data Overview
  4. Performance Metric
  5. Exploratory Data Analysis
  6. Usage of Deep Learning model to solve this problem
  7. Base Model
  8. Modified Base model
  9. Transformers and BERT
  10. TFRoBERTa model for Question Answering
  11. Further Improvements that can be done
  12. Deployment of Model
  13. Code in GitHub
  14. Reference

deep-learning bert sentiment-analysis nlp tensorflow

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