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TFG_Twitter-Sentiment-Analysis-on-BBC-Proms

NOTE: The code in this repository is not prepared to be cloned and executed

This repository contains part of the code I have developed to carry out my Bachelor's degree final project.

The goal of the project was to perform Sentiment Analysis on a set of tweets from several editions of the BBC Proms, one of the most important classical music festivals. In order to classify the tweets, two types of classifiers are built: machine learning (Logistic Regression & SVM) and deep learning (CNN).

Folder structure

  • classifiers: two Jupyter Notebooks with implementations for each of the twitter classifiers
  • pre-processing: scripts to apply text-preprocessing on twitter data
  • helpers: handy scripts to perform a number of operations during the pre-processing and data preparation process.

If you want to use part of this code, you must take into account that you may have to adapt it to the task at-hand, but this can become a very fun process!

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