Twitter Sentiment Analysis using Naïve Bayes

This is a project made for "Big Data Applications" subject, Master's degree. In the application, a comparison of Naïve Bayes classifier was made between a sequential algorithm implementation and a distributed algorithm implementation, with the purpose of performing sentiment analysis on a Twitter dataset.

A presentation of the general functionality of the application can be checked here, and a comprehensive documentation can be accessed here.

Links for the used datasets:

• https://www.kaggle.com/competitions/twitter-sentiment-analysis2

• https://www.kaggle.com/datasets/kazanova/sentiment140?datasetId=2477