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Performing NLP for political tweets

  • Course: Machine Learning Applications
  • Final grade: 9.8/10

Tools and covered topics

  • Google Colab
  • Rule-based and embedded transformers
  • Topic modelling: LDA

Expected Results

The final result should represent the language used by each political party through visualizations, leading to a clear view on Spanish Political picture.

Table of contents

  1. Introduction
  2. Data Extraction: Twitter scraping and loading
  3. Training set: Preprocessing and Vectorization of tweets
  4. Testing set: Preprocessing and Vectorization of tweets
  5. Training and evaluation of the ML Model
  6. Comparison against pre-trained transformers (positivity and hate speech in rule-based and embedded transformers)
  7. LDA: topic modelling with gensim
  8. More data visualizations on political tweets
  9. Final conclusions

Contributing

Contributions are welcome! Please fork the repository and submit a pull request with your changes. Feel free to customize it further to match your repository's specific details and needs!