https://github.com/arjunravi26/sentimental-analysis
Sentimental Analysis Project
https://github.com/arjunravi26/sentimental-analysis
gensim nltk numpy pandas scikit-learn tensorflow word2vec
Last synced: about 1 month ago
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Sentimental Analysis Project
- Host: GitHub
- URL: https://github.com/arjunravi26/sentimental-analysis
- Owner: arjunravi26
- Created: 2025-02-21T05:31:13.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-02-21T05:36:55.000Z (12 months ago)
- Last Synced: 2025-06-26T08:04:36.172Z (7 months ago)
- Topics: gensim, nltk, numpy, pandas, scikit-learn, tensorflow, word2vec
- Language: Jupyter Notebook
- Homepage:
- Size: 24.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Sentimental Anlaysis on IMBD dataset.
## Technology Used:
* nltk for tokenization, stopword removal and lemmaitzation
* word2vec for vectorization
* Traditional algorithms like svc and logistic regression
* Deep learning algorithms like RNN and LSTM
## Result:
* Got around 86% accuracy