Project for the Text Analytics exam. The dataset provided can be found here. The analysis therefore concerns Airline tweets sentiment.
The Project is divided in 5 parts: Understanding/Preparation, Word Cloud, Dashboard, Weak Labeling, Sentiment Analysis (Simple Classifiers, LSTM, BERT). The goal is to test various technique for sentiment analysis about the dataset.
In particular, the dashbord can be found in
Matteo Biviano (https://github.com/MatteoBiviano)
Arianna Racioppa (https://github.com/ariannaracioppa)