https://github.com/axanthos/orange3-textable

Use visual programming to build data tables based on text data within the Orange data mining software environment
https://github.com/axanthos/orange3-textable

addon analysis orange text

Last synced: 8 months ago
JSON representation

Use visual programming to build data tables based on text data within the Orange data mining software environment

• Host: GitHub
• URL: https://github.com/axanthos/orange3-textable
• Owner: axanthos
• License: gpl-3.0
• Created: 2016-10-28T10:42:31.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2025-10-20T14:33:27.000Z (8 months ago)
• Last Synced: 2025-10-21T19:59:07.041Z (8 months ago)
• Topics: addon, analysis, orange, text
• Language: Python
• Homepage: http://textable.io
• Size: 35.3 MB
• Stars: 29
• Watchers: 5
• Forks: 10
• Open Issues: 2
• Metadata Files:
  • Readme: README.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
Textable

========

Textable is an open source add-on bringing advanced text-analytical

functionalities to the `Orange Canvas `_ data mining

software package (itself open source). Look at the following `example

`_ to see

it in typical action.

The project's website is http://textable.io. It hosts a repository of

`recipes `_ to help you get started with

Textable.

Documentation is hosted at http://orange3-textable.readthedocs.io/ and

you can get further support at https://textable.freshdesk.com/ or by e-mail

to `support@textable.io `_

Orange Textable was designed and implemented by `LangTech Sarl

`_ on behalf of the `department of language and

information sciences (SLI) `_ at the `University of

Lausanne `_ (see `Credits

`_ and

`How to cite Orange Textable

`_).

Features

--------

Basic text analysis

~~~~~~~~~~~~~~~~~~~

* use regular expressions to segment letters, words, sentences, etc. or full-text query

* use regexes to extract annotations from many input formats

* import in-line XML markup (e.g. TEI)

* include/exclude segments based on user-defined lists (stoplists)

* filter segments based on frequency

* easily generate random text samples

Advanced text analysis

~~~~~~~~~~~~~~~~~~~~~~

* concordances and collocations, also based on annotations

* segment distribution, document-term matrix, transition matrix, etc.

* co-occurrence tables, also between different types of segments

* lemmatization and POS-tagging via Treetagger

* robust linguistic complexity measures, incl. mean length of word, lexical diversity, etc.

* many advanced data mining algorithms: clustering, classification, factor analyses, etc.

Text recoding

~~~~~~~~~~~~~

* Unicode-aware preprocessing functions, e.g. remove accents from Ancient Greek text

* recode and restructure texts using regexes, e.g. rewrite CSV as XML

Extensibility

~~~~~~~~~~~~~

* handles hundreds of text files

* use Python script for custom text processing or to access external tools: NLTK, Pattern, GenSim, etc.

Interoperability

~~~~~~~~~~~~~~~~

* import text from keyboard, files, or URLs

* process any kind of raw text format: TXT, HTML, XML, CSV, etc.

* supports many text encodings, incl. Unicode

* export results in text files or copy-paste

* easy interfacing with Orange's Text Mining add-on

Ease of access

~~~~~~~~~~~~~~

* user-friendly visual interface

* ready-made recipes for a range of frequent use cases

* extensive documentation

* support and community forums