Reddit Sentiment Data Analysis
Developed a machine learning model to analyze user comments from Reddit and classify them into Positive, Negative, and Neutral sentiments.
The project involved:
Web scraping Reddit data.
Preprocessing & cleaning textual data.
Applying sentiment analysis techniques with VADER and machine learning models.
Building a pipeline using TF-IDF and Logistic Regression.
Achieved high accuracy in detecting and classifying user emotions.