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](http://orange3-text.readthedocs.org/).
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
Raw data
{
"_id": null,
"home_page": "https://github.com/biolab/orange3-text",
"name": "Orange3-Text",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "orange3-text, data mining, orange3 add-on",
"author": "Bioinformatics Laboratory, FRI UL",
"author_email": "info@biolab.si",
"download_url": "https://files.pythonhosted.org/packages/c7/61/0c1fa04e5ff56669aeb63caa4b8ba6516eae7217c220bb615c4bdbc58ee4/orange3_text-1.16.1.tar.gz",
"platform": null,
"description": "Orange3 Text\n============\n\nOrange add-on for text mining. It provides access to publicly available data,\nlike NY Times, Twitter and PubMed. Further, it provides tools for preprocessing,\nconstructing vector spaces (like bag-of-words, topic modeling and word2vec) and\nvisualizations like word cloud end geo map. All features can be combined with\npowerful data mining techniques from the Orange data mining framework.\n\nSee [documentation](http://orange3-text.readthedocs.org/).\n\nFeatures\n--------\n#### Access to data\n* Load a corpus of text documents\n* Access publicly available data (The Guardian, NY Times, Twitter, Wikipedia, PubMed)\n\n#### Text analysis\n* Preprocess corpus\n* Generate bag of words\n* Embed documents into vector space\n* Perform sentiment analysis\n* Detect emotions in tweets\n* Discover topics in the text\n* Compute document statistics\n* Visualize frequent words in the word cloud\n* Find words that enrich selected documents\n",
"bugtrack_url": null,
"license": null,
"summary": "Orange3 TextMining add-on.",
"version": "1.16.1",
"project_urls": {
"Download": "https://github.com/biolab/orange3-text/tarball/1.16.1",
"Homepage": "https://github.com/biolab/orange3-text"
},
"split_keywords": [
"orange3-text",
" data mining",
" orange3 add-on"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "5779945f6a3cec011497c9b1ec4311853ec0dde6c3ad26a6046242c4ece8de63",
"md5": "133e23400d86edaffa3fc044adbd5b77",
"sha256": "5d9f4565132ddf06ce91bacf3c80f778d007156f64242ecfc900a2afaa4c7ffe"
},
"downloads": -1,
"filename": "Orange3_Text-1.16.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "133e23400d86edaffa3fc044adbd5b77",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": null,
"size": 33273454,
"upload_time": "2024-08-30T07:45:41",
"upload_time_iso_8601": "2024-08-30T07:45:41.010276Z",
"url": "https://files.pythonhosted.org/packages/57/79/945f6a3cec011497c9b1ec4311853ec0dde6c3ad26a6046242c4ece8de63/Orange3_Text-1.16.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "c7610c1fa04e5ff56669aeb63caa4b8ba6516eae7217c220bb615c4bdbc58ee4",
"md5": "b811074f9267a1dda09b6fb53d45b881",
"sha256": "551fa88b8d9d188d45a053696d4e5bba7829ee4542418d725eff0103aad63917"
},
"downloads": -1,
"filename": "orange3_text-1.16.1.tar.gz",
"has_sig": false,
"md5_digest": "b811074f9267a1dda09b6fb53d45b881",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 30306024,
"upload_time": "2024-08-30T07:45:45",
"upload_time_iso_8601": "2024-08-30T07:45:45.848433Z",
"url": "https://files.pythonhosted.org/packages/c7/61/0c1fa04e5ff56669aeb63caa4b8ba6516eae7217c220bb615c4bdbc58ee4/orange3_text-1.16.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-08-30 07:45:45",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "biolab",
"github_project": "orange3-text",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"requirements": [],
"tox": true,
"lcname": "orange3-text"
}