Orange3-Text


NameOrange3-Text JSON
Version 1.16.1 PyPI version JSON
download
home_pagehttps://github.com/biolab/orange3-text
SummaryOrange3 TextMining add-on.
upload_time2024-08-30 07:45:45
maintainerNone
docs_urlNone
authorBioinformatics Laboratory, FRI UL
requires_pythonNone
licenseNone
keywords orange3-text data mining orange3 add-on
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage
            Orange3 Text
============

Orange add-on for text mining. It provides access to publicly available data,
like NY Times, Twitter and PubMed. Further, it provides tools for preprocessing,
constructing vector spaces (like bag-of-words, topic modeling and word2vec) and
visualizations like word cloud end geo map. All features can be combined with
powerful data mining techniques from the Orange data mining framework.

See [documentation](http://orange3-text.readthedocs.org/).

Features
--------
#### Access to data
* Load a corpus of text documents
* Access publicly available data (The Guardian, NY Times, Twitter, Wikipedia, PubMed)

#### Text analysis
* Preprocess corpus
* Generate bag of words
* Embed documents into vector space
* Perform sentiment analysis
* Detect emotions in tweets
* Discover topics in the text
* Compute document statistics
* Visualize frequent words in the word cloud
* Find words that enrich selected documents

            

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