About This Project
- Performed data preprocessing which involved text cleaning, lemmitizing, and conversion of text to vectors using NLP.
- Used regular expressions library for removing special characters, converting all the text to lowercase, and removed all the stopwords
- Analyzed the complete text data using graphs, plots, kernel-distribution, and interactive charts.
- Created multiple machine learning models for classifying tweets into neutral, positive, and negatives.
Project Walkthrough
Tools & Technologies
Tags
- Natural Language Processing
- Python
- Machine Learning
- Deep Learning
- Web Scrapping