Short Text Categorization in Python

This repository is a collection of algorithms for multi-class classification to short texts using Python. Modules are backward compatible unless otherwise specified. Feel free to give suggestions.

To install it, in a console, use pip.

>>> pip install -U shorttext

or, if you want the most updated code that is not released on PyPI yet, type

>>> pip install -U git+https://github.com/stephenhky/PyShortTextCategorization@master

Developers are advised to make sure Keras >=2 be installed. Users are advised to install the backend Tensorflow (preferred) or Theano in advance.

See tutorial for how to use the package.

Issues

To report any issues, go to the Issues tab of the Github page and start a thread. It is welcome for developers to submit pull requests on their own to fix any errors.

Useful Links

• Documentation: http://shorttext.readthedocs.io
• Github: https://github.com/stephenhky/PyShortTextCategorization
• PyPI: https://pypi.org/project/shorttext/
• "Short Text Mining using Advanced Keras Layers and Maxent: shorttext 0.4.1," WordPress
• "Python Package for Short Text Mining", WordPress
• An earlier version of this repository is a demonstration of the following blog post: Short Text Categorization using Deep Neural Networks and Word-Embedding Models

News

• 08/22/2017: shorttext 0.5.1 released.
• 07/28/2017: shorttext 0.4.1 released.
• 07/26/2017: shorttext 0.4.0 released.
• 06/16/2017: shorttext 0.3.8 released.
• 06/12/2017: shorttext 0.3.7 released.
• 06/02/2017: shorttext 0.3.6 released.
• 05/30/2017: GSoC project (Chinmaya Pancholi, with gensim)
• 05/16/2017: shorttext 0.3.5 released.
• 04/27/2017: shorttext 0.3.4 released.
• 04/19/2017: shorttext 0.3.3 released.
• 03/28/2017: shorttext 0.3.2 released.
• 03/14/2017: shorttext 0.3.1 released.
• 02/23/2017: shorttext 0.2.1 released.
• 12/21/2016: shorttext 0.2.0 released.
• 11/25/2016: shorttext 0.1.2 released.
• 11/21/2016: shorttext 0.1.1 released.

Possible Future Updates

Refer to UPCOMING.md.