https://github.com/aliirshad3098/MovieReviewSentimentAnalysis
I Developed a model successfully predicts whether a movie review is positive or negative by cleaning the input text (removing special characters, punctuation, and stopwords),vectorizing it usingTF-IDF,and then classifying it with a Logistic Regression model. IT includes inputValidation,errorhandling, and an interactive web app built with Streamlit
https://github.com/aliirshad3098/MovieReviewSentimentAnalysis
logistic-regression machinelearning movie-review-sentiment-analysis nlp sentiment-analysis streamlit
Last synced: 8 months ago
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I Developed a model successfully predicts whether a movie review is positive or negative by cleaning the input text (removing special characters, punctuation, and stopwords),vectorizing it usingTF-IDF,and then classifying it with a Logistic Regression model. IT includes inputValidation,errorhandling, and an interactive web app built with Streamlit
- Host: GitHub
- URL: https://github.com/aliirshad3098/MovieReviewSentimentAnalysis
- Owner: 5103691
- Created: 2024-10-16T15:09:13.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-16T15:14:27.000Z (over 1 year ago)
- Last Synced: 2024-10-18T10:43:28.281Z (over 1 year ago)
- Topics: logistic-regression, machinelearning, movie-review-sentiment-analysis, nlp, sentiment-analysis, streamlit
- Language: Jupyter Notebook
- Homepage:
- Size: 1.39 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: