https://github.com/22p31a0512/sentimental-analysis
Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
https://github.com/22p31a0512/sentimental-analysis
feature-engineering machine-learning natural-language-processing numpy pandas python supervised-learning text-classification text-processing tokenization
Last synced: about 1 month ago
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Build a model to classify text as positive, negative, or neutral. Apply NLP techniques for preprocessing and machine learning for classification. Aim for accurate sentiment prediction on various text formats.
- Host: GitHub
- URL: https://github.com/22p31a0512/sentimental-analysis
- Owner: 22P31A0512
- License: mit
- Created: 2025-04-22T12:36:59.000Z (about 1 month ago)
- Default Branch: main
- Last Pushed: 2025-04-22T12:39:56.000Z (about 1 month ago)
- Last Synced: 2025-04-23T15:16:37.147Z (about 1 month ago)
- Topics: feature-engineering, machine-learning, natural-language-processing, numpy, pandas, python, supervised-learning, text-classification, text-processing, tokenization
- Language: Jupyter Notebook
- Homepage:
- Size: 280 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0