Metadata-Version: 2.1
Name: Orange3-Text
Version: 0.8.0
Summary: Orange3 TextMining add-on.
Home-page: https://github.com/biolab/orange3-text
Author: Bioinformatics Laboratory, FRI UL
Author-email: info@biolab.si
License: UNKNOWN
Download-URL: https://github.com/biolab/orange3-text/tarball/0.8.0
Keywords: orange3-text,data mining,orange3 add-on
Platform: UNKNOWN
Requires-Dist: Orange3 (>=3.21.0)
Requires-Dist: beautifulsoup4
Requires-Dist: biopython
Requires-Dist: docutils (<0.16)
Requires-Dist: docx2txt (>=0.6)
Requires-Dist: gensim (>=0.12.3)
Requires-Dist: lxml
Requires-Dist: nltk (>=3.0.5)
Requires-Dist: numpy
Requires-Dist: odfpy (>=1.3.5)
Requires-Dist: pdfminer3k (>=1.3.1)
Requires-Dist: python-dateutil (<2.8.1)
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: setuptools-git
Requires-Dist: simhash
Requires-Dist: tweepy
Requires-Dist: ufal.udpipe (>=1.2.0.3)
Requires-Dist: wikipedia

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.


