Skip to main content

Orange3 TextMining add-on.

Project 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.

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Orange3-Text, version 1.1.0
Filename, size File type Python version Upload date Hashes
Filename, size Orange3-Text-1.1.0.tar.gz (40.1 MB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page