Sentiment Analysis

Project Description:

This project focuses on Sentiment Analysis using text data collected from two popular platforms: Twitter and Reddit. The objective is to analyze the sentiment (positive, negative, or neutral) expressed in tweets and Reddit posts, providing a comprehensive understanding of public opinions across diverse topics.

Sentiment Analysis involves the use of Natural Language Processing (NLP) and Machine Learning techniques to classify emotions conveyed in text.

Project Goals:

Develop a unified sentiment analysis model capable of handling text from multiple platforms.

Study sentiment differences between the two platforms:

Twitter: Short and concise text.

Reddit: Longer, more detailed discussions across various communities.

Understand public opinions on specific topics, such as current events, products, or social issues. Create a structured dataset suitable for training machine learning models and performing text analysis.