Rickey-CS/Sentiment-Text-Classification-Pytorch

sentiment-analysis,document-classification,svm,logistic-regression,rcnn-text-classification, cnn-text-classification, lstm-text-classification, naive-bayes-classifier, sklearn-classify, pytorch

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Emerging

This project helps you understand the overall sentiment of text, such as customer reviews or social media comments. It takes raw text as input and tells you if the sentiment is positive, negative, or neutral. This is useful for data analysts, marketers, or anyone who needs to quickly gauge public opinion or customer satisfaction from large volumes of text.

No commits in the last 6 months.

Use this if you need to classify text by sentiment and are new to working with text classification models.

Not ideal if you require highly specialized sentiment analysis for niche domains or are an experienced machine learning practitioner looking to implement cutting-edge research.

customer-feedback social-listening market-research public-opinion text-analytics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 13 / 25

How are scores calculated?

Stars

9

Forks

2

Language

Python

License

MIT

Last pushed

Apr 19, 2019

Commits (30d)

0

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