Text Models
===============
.. image:: https://github.com/INGEOTEC/text_models/actions/workflows/test.yaml/badge.svg
:target: https://github.com/INGEOTEC/text_models/actions/workflows/test.yaml
.. image:: https://badge.fury.io/py/text-models.svg
:target: https://badge.fury.io/py/text-models
.. image:: https://coveralls.io/repos/github/INGEOTEC/text_models/badge.svg?branch=develop
:target: https://coveralls.io/github/INGEOTEC/text_models?branch=develop
.. image:: https://dev.azure.com/conda-forge/feedstock-builds/_apis/build/status/text_models-feedstock?branchName=main
:target: https://dev.azure.com/conda-forge/feedstock-builds/_build/latest?definitionId=16894&branchName=main
.. image:: https://img.shields.io/conda/vn/conda-forge/text_models.svg
:target: https://anaconda.org/conda-forge/text_models
.. image:: https://img.shields.io/conda/pn/conda-forge/text_models.svg
:target: https://anaconda.org/conda-forge/text_models
.. image:: https://readthedocs.org/projects/text-models/badge/?version=latest
:target: https://text-models.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://colab.research.google.com/assets/colab-badge.svg
:target: https://colab.research.google.com/github/INGEOTEC/text_models/blob/master/docs/Quickstart.ipynb
Twitter is perhaps the social media more amenable for research.
It requires only a few steps to obtain information, and there are
plenty of libraries that can help in this regard. Nonetheless,
knowing whether a particular event is expressed on Twitter is a
challenging task that requires a considerable collection of tweets.
This library aims to facilitate, to a researcher interested, the process
of mining events on Twitter by opening a collection of processed
information taken from Twitter since December 2015. The events could be
related to natural disasters, health issues, and people's mobility,
among other studies that can be pursued with the library proposed.
In summary, the Python library retrieves a plethora of information in
terms of frequencies by day of words and bi-grams of words for Arabic,
English, Spanish, and Russian languages. As well as mobility information
related to the number of travels among locations for more than 200 countries or territories.
The documentation is on `readthedocs <https://text_models.readthedocs.io>`_.
Raw data
{
"_id": null,
"home_page": "https://github.com/ingeotec/text_models",
"name": "text-models",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "",
"author": "Mario Graff",
"author_email": "mgraffg@ieee.org",
"download_url": "https://files.pythonhosted.org/packages/69/37/13943ab20d2abf7bff5e7c659430e01a1723cac5ef894d23a0aa30ecf811/text_models-1.0.4.tar.gz",
"platform": null,
"description": "Text Models\n===============\n.. image:: https://github.com/INGEOTEC/text_models/actions/workflows/test.yaml/badge.svg\n\t :target: https://github.com/INGEOTEC/text_models/actions/workflows/test.yaml\n\n.. image:: https://badge.fury.io/py/text-models.svg\n\t :target: https://badge.fury.io/py/text-models\n\n.. image:: https://coveralls.io/repos/github/INGEOTEC/text_models/badge.svg?branch=develop\n\t :target: https://coveralls.io/github/INGEOTEC/text_models?branch=develop\n\n.. image:: https://dev.azure.com/conda-forge/feedstock-builds/_apis/build/status/text_models-feedstock?branchName=main\n\t :target: https://dev.azure.com/conda-forge/feedstock-builds/_build/latest?definitionId=16894&branchName=main\n\n.. image:: https://img.shields.io/conda/vn/conda-forge/text_models.svg\n\t :target: https://anaconda.org/conda-forge/text_models\n\n.. image:: https://img.shields.io/conda/pn/conda-forge/text_models.svg\n\t :target: https://anaconda.org/conda-forge/text_models\n\n.. image:: https://readthedocs.org/projects/text-models/badge/?version=latest\n :target: https://text-models.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n.. image:: https://colab.research.google.com/assets/colab-badge.svg\n\t:target: https://colab.research.google.com/github/INGEOTEC/text_models/blob/master/docs/Quickstart.ipynb\t \t\t \t\t \n\n\nTwitter is perhaps the social media more amenable for research. \nIt requires only a few steps to obtain information, and there are \nplenty of libraries that can help in this regard. Nonetheless, \nknowing whether a particular event is expressed on Twitter is a \nchallenging task that requires a considerable collection of tweets. \nThis library aims to facilitate, to a researcher interested, the process \nof mining events on Twitter by opening a collection of processed \ninformation taken from Twitter since December 2015. The events could be \nrelated to natural disasters, health issues, and people's mobility, \namong other studies that can be pursued with the library proposed. \nIn summary, the Python library retrieves a plethora of information in \nterms of frequencies by day of words and bi-grams of words for Arabic, \nEnglish, Spanish, and Russian languages. As well as mobility information \nrelated to the number of travels among locations for more than 200 countries or territories.\n\nThe documentation is on `readthedocs <https://text_models.readthedocs.io>`_.\n",
"bugtrack_url": null,
"license": "",
"summary": "Text Models",
"version": "1.0.4",
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "693713943ab20d2abf7bff5e7c659430e01a1723cac5ef894d23a0aa30ecf811",
"md5": "d8ec42531296fc86ae0d86807849c783",
"sha256": "80f242454450fbe14b8044f1609840b0a730d14e125523f3e3c17eb6169ade53"
},
"downloads": -1,
"filename": "text_models-1.0.4.tar.gz",
"has_sig": false,
"md5_digest": "d8ec42531296fc86ae0d86807849c783",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 28285639,
"upload_time": "2023-02-03T14:42:26",
"upload_time_iso_8601": "2023-02-03T14:42:26.160385Z",
"url": "https://files.pythonhosted.org/packages/69/37/13943ab20d2abf7bff5e7c659430e01a1723cac5ef894d23a0aa30ecf811/text_models-1.0.4.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2023-02-03 14:42:26",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "ingeotec",
"github_project": "text_models",
"travis_ci": false,
"coveralls": true,
"github_actions": true,
"lcname": "text-models"
}
JSON
