mjmaher987/Sentiment-Analysis-Project

This is a project related to machine learning course

20
/ 100
Experimental

This project helps you understand customer opinions from written feedback, like movie reviews, by classifying them as positive or negative. It takes in raw text reviews and provides a clear 'positive' or 'negative' sentiment label for each. Marketers, product managers, or content analysts who need to quickly gauge public opinion on specific topics would find this useful.

No commits in the last 6 months.

Use this if you need to automatically categorize large volumes of text (like reviews, comments, or survey responses) based on their overall positive or negative tone.

Not ideal if you need to detect nuanced emotions beyond simple positive/negative, or if your text data uses highly specialized jargon.

Customer Feedback Market Research Content Analysis Public Opinion Review Management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 0 / 25

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8

Forks

Language

Jupyter Notebook

License

MIT

Last pushed

Nov 16, 2023

Commits (30d)

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