This project determines the views of people towards self-driving cars and comes to know the attitude of many people towards self-driving cars. This is done by performing sentiment analysis on tweets by training a model to classify tweets as positive, negative or neutral, and then using the trained model to determine the sentiment of the test tweets. Training and testing accuracies of 90.25% and 79.31% were obtained respectively.
IDE – Jupyter Notebook
Language – Python3
Libraries – Natural Language Toolkit (NLTK), Pandas, Scikit-Learn, TextBlob, Got3, Wordcloud, Matplotlib