twitter-sentiment-analysis and LLM-Based-Sentiment-Analysis
Maintenance
0/25
Adoption
10/25
Maturity
16/25
Community
25/25
Maintenance
10/25
Adoption
3/25
Maturity
5/25
Community
13/25
Stars: 1,643
Forks: 608
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Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
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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.
social-media-analysis
public-opinion
brand-monitoring
market-research
text-analysis
About LLM-Based-Sentiment-Analysis
josedanielchg/LLM-Based-Sentiment-Analysis
Sentiment analysis on tweets using pre-trained LLM embeddings and classical ML classifiers (SVM/Random Forest) to predict positive/neutral/negative labels.
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