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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.

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

Metadata

Release files for Orange3-Text-zh 1.8.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for Orange3-Text-zh 1.8.2
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Orange3-Text-zh-1.8.2.tar.gz 25.1 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for Orange3-Text-zh 1.8.2
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Orange3_Text_zh-1.8.2-py3-none-any.whl Python 3 none any Details

Total release size: 42.7 MB

Release files / Orange3-Text-zh-1.8.2.tar.gz

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Size 25.1 MB
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Release files / Orange3_Text_zh-1.8.2-py3-none-any.whl

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1.8.2 This release

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