vinayakumarr/text-classification-using-tflearn

text classification using deep learning

25
/ 100
Experimental

This project helps you automatically sort short pieces of text, like customer reviews, into categories such as 'positive' or 'negative'. You provide a collection of text examples, some labeled as positive and others as negative, and it learns to classify new, unlabeled texts. This is ideal for market researchers, product managers, or anyone needing to quickly gauge sentiment from text feedback.

No commits in the last 6 months.

Use this if you need to rapidly categorize a large volume of short text snippets based on predefined sentiments or topics, without manually reading each one.

Not ideal if you need to classify long documents, identify complex nuances beyond simple positive/negative, or work with languages other than English.

sentiment-analysis customer-feedback text-categorization review-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

7

Forks

2

Language

Java

License

Last pushed

Jan 19, 2019

Commits (30d)

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