JosephAssaker/Twitter-Sentiment-Analysis-Classical-Approach-VS-Deep-Learning

This project's aim, is to explore the world of Natural Language Processing (NLP) by building what is known as a Sentiment Analysis Model. A sentiment analysis model is a model that analyses a given piece of text and predicts whether this piece of text expresses positive or negative sentiment. To this end, we will be using the sentiment140 dataset containing data collected from twitter. An impressive feature of this dataset is that it is perfectly balanced (i.e., the number of examples in each class is equal). Our approach was unique because our training data was automatically created, as opposed to having humans manual annotate tweets.