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💉 Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.

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💉 Vaccine-Sentiment-Classifier

Vaccine Sentiment Classifier (or VSC) is a Deep Learning classifier trained on real world twitter data.

VSC distinguishes 3 types of tweets:

  1. 😐 Neutral
  2. 😠 Anti-vax
  3. ☺️ Pro-vax

The main aim of the project, is to showcase the multitude of ways (from shallow to deep learning) one can use NLP in order to extract sentiment from a given set.

Structure

The project is divided into 4 different implementations.

Each of them includes a .ipynb notebook and its corresponding documentation.

In a nutshell, the most important topics of each implementation are listed below.

1. VSC using Softmax Regression

2. VSC using Feed Forward Neural Networks (FFNN)

3. VSC using Recurrent Neural Networks (RNN)

4. VSC using BERT