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Releases: stephenhky/PyShortTextCategorization

Release 4.0.4

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@stephenhky stephenhky released this 02 Jul 19:12
6de8060
  • Debugging regarding the update of the library sparse.
  • Refactoring.

Release 4.0.3

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@stephenhky stephenhky released this 26 May 14:40
1b9da5b
  • Stemming helper functions updated.

Release 4.0.2

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@stephenhky stephenhky released this 18 May 14:23
13635c7
  • Fixed bugs in CLI.

Release 4.0.1

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@stephenhky stephenhky released this 14 May 13:33
902a27e
  • Use classmethods to load pretrained models.
  • Code optimization.

Release 4.0.0

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@stephenhky stephenhky released this 19 Apr 20:19
550e2cb
  • Removed support for Python 3.9 and 3.10;
  • New style of documentation;
  • New docstrings;
  • Type hinting;
  • Dependence on gensim reduced to topic modeling related functions and Word2Vec embedding;
  • Modernizing the use of keras;
  • The use of loguru, orjson, sparse and npdict libraries;
  • Code cleanup and debugged;
  • Removed the old implementation of document-term matrix, and replaced it with NumpyDocumentTermMatrix;
  • Implementation of cosine similarity optimized by numba instead using the cosine distance from scipy;
  • All unit tests and regression tests rewritten, and run by pytest.

Release 3.1.1

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@stephenhky stephenhky released this 23 Mar 03:30
45a0584
  • Updates to Github actions.

Release 3.1.0

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@stephenhky stephenhky released this 02 Mar 21:27
63fda5c
  • Support for Python 3.13;
  • Removal of dependence on nptyping.

Release 3.0.1

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@stephenhky stephenhky released this 28 Oct 03:14
46290cf
  • Small bugs fixed.

Release 3.0.0

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@stephenhky stephenhky released this 11 Aug 02:41
0c993a8
  • Introduction of Github workflow, publishing package directly to PyPI from Github;
  • Removal of Sakiguchi spell corrector; (refer to the examples\ folder in the repository)
  • Removal of WrappedBERTEncoder and BERTScorer; (they can be installed from the package shorttext-bert)
  • Update of documentation.

Release 2.2.1

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@stephenhky stephenhky released this 02 Jun 23:24
cba4006
  • Code cleanup for token categorization. (Acknowledgements: Minseo Kim)