GitHub - Kimeon836/Sentiment-Classifier: A RNN model with an accuracy of 88.3% categorizing movie reviews as positive, negative, or neutral and integrated it into a user-friendly desktop app with long query support.

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A RNN model with an accuracy of 88.3% categorizing movie reviews as positive, negative, or neutral and integrated it into a user-friendly desktop app with long query support.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Assets		Assets
models		models
.gitignore		.gitignore
config.py		config.py
demo_csv.csv		demo_csv.csv
demo_for_review2.py		demo_for_review2.py
demo_txt.txt		demo_txt.txt
gui.py		gui.py
sa.py		sa.py

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A RNN model with an accuracy of 88.3% categorizing movie reviews as positive, negative, or neutral and integrated it into a user-friendly desktop app with long query support.

nlp natural-language-processing tensorflow python3 desktop-application tkinter

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