twitter-sentiment-analysis and Twitter-Sentiment-Analysis-

About twitter-sentiment-analysis

abdulfatir/twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

This project helps social media analysts, marketers, or researchers understand public opinion by analyzing Twitter data. You provide a CSV file of tweets, some labeled as positive or negative, and it outputs predictions of sentiment for new, unlabeled tweets. It helps you quickly gauge sentiment trends without manual review.

About Twitter-Sentiment-Analysis-

muqadasejaz/Twitter-Sentiment-Analysis-

A machine learning project that analyzes the sentiment of tweets using a Support Vector Machine (SVM) classifier. The model is trained to classify tweets as positive, negative, or neutral based on the textual content, using NLP techniques like tokenization, TF-IDF vectorization, and data cleaning.