GitHub - 5103691/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

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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

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
IMDB Dataset.csv		IMDB Dataset.csv
MovieReviewSentiment.ipynb		MovieReviewSentiment.ipynb
app.py		app.py
model.pkl		model.pkl
scaler.pkl		scaler.pkl