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-1.8.0.tar.gz (37.1 MB view details)

Uploaded Source

Built Distribution

Orange3_Text-1.8.0-py3-none-any.whl (29.0 MB view details)

Uploaded Python 3

File details

Details for the file Orange3-Text-1.8.0.tar.gz.

File metadata

  • Download URL: Orange3-Text-1.8.0.tar.gz
  • Upload date:
  • Size: 37.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.8.12

File hashes

Hashes for Orange3-Text-1.8.0.tar.gz
Algorithm Hash digest
SHA256 4bff9e931e1af7f6d89ad36c1fff372f39dd75afca3e94424043089432f4872b
MD5 e94cbc38fc9c42bfd83fcef39af8496d
BLAKE2b-256 870d473ffb3dd0a8040746255e4ef1a2ebe0e740ddd9a415ebe3fe3da8a1af32

See more details on using hashes here.

File details

Details for the file Orange3_Text-1.8.0-py3-none-any.whl.

File metadata

File hashes

Hashes for Orange3_Text-1.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dbfef53b7ce90920e9032893cb60ab839cb60c434b42f84504306fec6a673bc8
MD5 51dd9826136a0645b2c4fa50aacba072
BLAKE2b-256 50a95f9515b04428bbc757f50ec0dd33ae3043ed34b4163e8686ad629f7a93bb

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