Package: shorttext
IntroductionThis packageshorttextis a Python package that facilitates supervised and unsupervised
learning for short text categorization. Due to the sparseness of words and
the lack of information carried in the short texts themselves, an intermediate
representation of the texts and documents are needed before they are put into
any classification algorithm. In this package, it facilitates various types
of these representations, including topic modeling and word-embedding algorithms.The packageshorttextruns on Python 3.8, 3.9, 3.10, and 3.11.
Characteristics:example data provided (including subject keywords and NIH RePORT);text preprocessing;pre-trained word-embedding support;gensimtopic models (LDA, LSI, Random Projections) and autoencoder;topic model representation supported for supervised learning usingscikit-learn;cosine distance classification;neural network classification (including ConvNet, and C-LSTM);maximum entropy classification;metrics of phrases differences, including soft Jaccard score (using Damerau-Levenshtein distance), and Word Mover's distance (WMD);character-level sequence-to-sequence (seq2seq) learning;spell correction;API for word-embedding algorithm for one-time loading; andSentence encodings and similarities based on BERT.DocumentationDocumentation and tutorials forshorttextcan be found here:http://shorttext.rtfd.io/.Seetutorialfor how to use the package, andFAQ.InstallationTo install it, in a console, usepip.>>> pip install -U shorttextor, if you want the most recent development version on Github, type>>> pip install -U git+https://github.com/stephenhky/PyShortTextCategorization@masterDevelopers are advised to make sureKeras>=2 be installed. Users are advised to install the backendTensorflow(preferred) orTheanoin advance. It is desirable ifCythonhas been previously installed too.Seeinstallation guidefor more details.IssuesTo report any issues, go to theIssuestab of the Github page and start a thread.
It is welcome for developers to submit pull requests on their own
to fix any errors.ContributorsIf you would like to contribute, feel free to submit the pull requests. You can talk to me in advance through e-mails or theIssuespage.Useful LinksDocumentation:http://shorttext.readthedocs.ioGithub:https://github.com/stephenhky/PyShortTextCategorizationPyPI:https://pypi.org/project/shorttext/"Package shorttext 1.0.0 released,"Medium"Python Package for Short Text Mining",WordPress"Document-Term Matrix: Text Mining in R and Python,"WordPressAnearlier versionof this repository is a demonstration of the following blog post:Short Text Categorization using Deep Neural Networks and Word-Embedding ModelsNews12/21/2023:shorttext1.6.1 released.08/26/2023:shorttext1.6.0 released.06/19/2023:shorttext1.5.9 released.09/23/2022:shorttext1.5.8 released.09/22/2022:shorttext1.5.7 released.08/29/2022:shorttext1.5.6 released.05/28/2022:shorttext1.5.5 released.12/15/2021:shorttext1.5.4 released.07/11/2021:shorttext1.5.3 released.07/06/2021:shorttext1.5.2 released.04/10/2021:shorttext1.5.1 released.04/09/2021:shorttext1.5.0 released.02/11/2021:shorttext1.4.8 released.01/11/2021:shorttext1.4.7 released.01/03/2021:shorttext1.4.6 released.12/28/2020:shorttext1.4.5 released.12/24/2020:shorttext1.4.4 released.11/10/2020:shorttext1.4.3 released.10/18/2020:shorttext1.4.2 released.09/23/2020:shorttext1.4.1 released.09/02/2020:shorttext1.4.0 released.07/23/2020:shorttext1.3.0 released.06/05/2020:shorttext1.2.6 released.05/20/2020:shorttext1.2.5 released.05/13/2020:shorttext1.2.4 released.04/28/2020:shorttext1.2.3 released.04/07/2020:shorttext1.2.2 released.03/23/2020:shorttext1.2.1 released.03/21/2020:shorttext1.2.0 released.12/01/2019:shorttext1.1.6 released.09/24/2019:shorttext1.1.5 released.07/20/2019:shorttext1.1.4 released.07/07/2019:shorttext1.1.3 released.06/05/2019:shorttext1.1.2 released.04/23/2019:shorttext1.1.1 released.03/03/2019:shorttext1.1.0 released.02/14/2019:shorttext1.0.8 released.01/30/2019:shorttext1.0.7 released.01/29/2019:shorttext1.0.6 released.01/13/2019:shorttext1.0.5 released.10/03/2018:shorttext1.0.4 released.08/06/2018:shorttext1.0.3 released.07/24/2018:shorttext1.0.2 released.07/17/2018:shorttext1.0.1 released.07/14/2018:shorttext1.0.0 released.06/18/2018:shorttext0.7.2 released.05/30/2018:shorttext0.7.1 released.05/17/2018:shorttext0.7.0 released.02/27/2018:shorttext0.6.0 released.01/19/2018:shorttext0.5.11 released.01/15/2018:shorttext0.5.10 released.12/14/2017:shorttext0.5.9 released.11/08/2017:shorttext0.5.8 released.10/27/2017:shorttext0.5.7 released.10/17/2017:shorttext0.5.6 released.09/28/2017:shorttext0.5.5 released.09/08/2017:shorttext0.5.4 released.09/02/2017: end of GSoC project. (Report)08/22/2017:shorttext0.5.1 released.07/28/2017:shorttext0.4.1 released.07/26/2017:shorttext0.4.0 released.06/16/2017:shorttext0.3.8 released.06/12/2017:shorttext0.3.7 released.06/02/2017:shorttext0.3.6 released.05/30/2017: GSoC project (Chinmaya Pancholi, withgensim)05/16/2017:shorttext0.3.5 released.04/27/2017:shorttext0.3.4 released.04/19/2017:shorttext0.3.3 released.03/28/2017:shorttext0.3.2 released.03/14/2017:shorttext0.3.1 released.02/23/2017:shorttext0.2.1 released.12/21/2016:shorttext0.2.0 released.11/25/2016:shorttext0.1.2 released.11/21/2016:shorttext0.1.1 released.Possible Future UpdatesDividing components to other packages;More available corpus.