Twitter/X Sentiment Analysis Using NLP
Natural Language Processing project focused on analyzing public sentiment, identifying trends, and extracting insights from Twitter/X social media data.
Twitter/X Sentiment Analysis Using NLP
Developed a sentiment analysis project using Natural Language Processing techniques to classify public opinions from Twitter/X data and generate insights regarding sentiment trends and audience perception.
Key Features
- Sentiment Classification
- NLP Text Preprocessing
- Trend Analysis
- Public Opinion Insights
- Text Cleaning & Tokenization
- Data Visualization
Project Overview
This project focuses on analyzing Twitter/X social media data to identify sentiment polarity and understand public opinion trends regarding specific topics or discussions.
Natural Language Processing techniques were applied for text preprocessing, sentiment classification, and trend visualization to transform unstructured text data into meaningful analytical insights.