Twitter Sentiment Analysis

In this I compare three supervised learning algorithms on the Twitter US Airline Dataset from kaggle: https://www.kaggle.com/crowdflower/twitter-airline-sentiment

Comment

Inspiration

GHW-AI/ML

What it does

One model is Tfidf model to transform the text into vector and the other is RandomForest Model with best accuracy.

How we built it

Simply data wrangling apply nlp technique to convert text into vector and predict the sentiments of the tweets from the twitter dataset.

Share this project:

Updates