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Text_Classification
Python

Text_Classification

Text Classification Algorithms: A Survey

by kk7nc · GitHub
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boosting-algorithmsconditional-random-fieldsconvolutional-neural-networksMITPython
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In plain words

Read a survey on different methods for classifying text documents.

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2026-07-202026-08-31
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📄 About

Text Classification Algorithms: A Survey

Text_Classification has 1.8k stars on GitHub. It has been forked 541 times. Text_Classification is written mainly in Python. It has been in active development since 2018. Text_Classification is available under the MIT license. Its main topics are boosting-algorithms, conditional-random-fields, convolutional-neural-networks, decision-trees.

Frequently asked questions

What is Text_Classification?

Text Classification Algorithms: A Survey

Is Text_Classification open source?

Text_Classification is an open-source project. It is released under the MIT license.

Is Text_Classification free?

Yes. Text_Classification is free and open source — you can use, modify and self-host it.

What license does Text_Classification use?

Text_Classification is available under the MIT license.

What language is Text_Classification written in?

Text_Classification is written mainly in Python.

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