The Repository provides the personal project I worked on the tweets of US airlines data for calculating the sentiments which provides the proper sentimental analysis when I started my journey in the field of data science. In this notebook, I have done a sentiment analysis of US Airline Reviews. Contents of this notebook are as follows:
- Loading the data and the necessary libraries
- Data Preprocessing
- Analyzing the missing values in the dataset
- Removing unnecessary columns
- Exploratory Data Analysis
- Visualizing the sentiments of each airline
- Frequency of words in positive sentiments
- Predicting the tweet sentiments with text data
- Random Forest Classifier
- XGBoost Classifier
- Evaluation of these models using the confusion matrix