twitter-sentiment-analysis and LLM-Based-Sentiment-Analysis

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Maintenance 10/25
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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:
Stale 6m No Package No Dependents
No License No Package No Dependents

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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