Tweet Sentiment Analysis

In this project, given Twitter US Airline Sentiment Dataset, which contains data for over 14000 tweets, we have to predict the sentiment of the tweet i.e. positive, negative or neutral.

Files

The folder contains the Jupyter Notebook File for the project along with the csv files containing the predictions of the testing data

Models tested

The different Machine Learning Models used for making predictions are :

1. Descision Tree
2. Logistic Regression
3. Multinomial Naive Bayes
4. Random Forest
5. Support Vector Machine (SVM)

Testing

The predicted values are tested on Coding Ninjas website and the actual values for the testing data are not present.