Metadata-Version: 2.1
Name: Orange3-Text
Version: 1.3.0
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/1.3.0
Description: 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
Keywords: orange3-text,data mining,orange3 add-on
Platform: UNKNOWN
Description-Content-Type: text/markdown
