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.

Source Distribution

Orange3-Text-1.13.0.tar.gz (40.8 MB view details)

Uploaded Source

Built Distribution

Orange3_Text-1.13.0-py3-none-any.whl (32.4 MB view details)

Uploaded Python 3

File details

Details for the file Orange3-Text-1.13.0.tar.gz.

File metadata

  • Download URL: Orange3-Text-1.13.0.tar.gz
  • Upload date:
  • Size: 40.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for Orange3-Text-1.13.0.tar.gz
Algorithm Hash digest
SHA256 66cc2c86bccc9dda3e612e4e500a981e48bd60631844b064e379d332be396bd5
MD5 451b4e226abb66079404e3e1ad8ba92a
BLAKE2b-256 0dea04a78852e86e2e41ac404462c25c5d1c7f9dd57eefc7689c2a69099c5a91

See more details on using hashes here.

File details

Details for the file Orange3_Text-1.13.0-py3-none-any.whl.

File metadata

File hashes

Hashes for Orange3_Text-1.13.0-py3-none-any.whl
Algorithm Hash digest
SHA256 37a745d386b3183985d1784fa42ce1e75f7ba50096745444f997bc11734f6cce
MD5 87ec2fbb70b7eded2005d4a9ef888e62
BLAKE2b-256 41ab798a1114e61a208f204a59acaa33c789b7e0485688e8edeae54ace308527

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page