LLM-Based-Sentiment-Analysis and Twitter-Sentiment-Analysis-
Maintenance
10/25
Adoption
3/25
Maturity
5/25
Community
13/25
Maintenance
2/25
Adoption
3/25
Maturity
15/25
Community
0/25
Stars: 3
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 3
Forks: —
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License
No Package
No Dependents
Stale 6m
No Package
No Dependents
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.
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.
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