twitter_sentiment_analysis_covid19

Sentiment analysis of "Covid-19" tweets from twitter using NLP and NB classifier algorithm

Sentiment analysis of tweets on the COVID-19 pandemic by the people across the globe as well as in India, Also classification of sentiments by using Multinomial naive Bayes algorithm.

Flow of the project

1. Scrapping tweets from twitter
2. Creating raw dataset
3. Cleaning twitter data
4. Textual analysis and textual data visualization
5. Calculating sentiments
6. Building pipeline for vectorization and model training
7. The performance measure of the model

Trained model achieved 82% of accuracy by classifying sentiments of tweets.