https://github.com/luphord/user_voting_rocks

Use your personal talk voting for PyConDE 2019 to predict your interest in a talk.
https://github.com/luphord/user_voting_rocks

prediction pycon text-classification

Last synced: 5 months ago
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Use your personal talk voting for PyConDE 2019 to predict your interest in a talk.

• Host: GitHub
• URL: https://github.com/luphord/user_voting_rocks
• Owner: luphord
• License: mit
• Created: 2019-06-25T04:41:55.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2019-07-02T06:08:08.000Z (almost 7 years ago)
• Last Synced: 2025-08-30T22:34:49.571Z (10 months ago)
• Topics: prediction, pycon, text-classification
• Language: Python
• Size: 51.8 KB
• Stars: 2
• Watchers: 0
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.rst
  • Changelog: HISTORY.rst
  • Contributing: CONTRIBUTING.rst
  • License: LICENSE

Awesome Lists containing this project

README

          
=================

User Voting Rocks

=================

.. image:: https://img.shields.io/pypi/v/user_voting_rocks.svg

        :target: https://pypi.python.org/pypi/user_voting_rocks

.. image:: https://img.shields.io/travis/luphord/user_voting_rocks.svg

        :target: https://travis-ci.org/luphord/user_voting_rocks

.. image:: https://readthedocs.org/projects/user-voting-rocks/badge/?version=latest

        :target: https://user-voting-rocks.readthedocs.io/en/latest/?badge=latest

        :alt: Documentation Status

Use your personal talk voting for PyConDE 2019 to predict your interest in a talk.

Installation

------------

In order to install the released version, use pip install:

.. code-block:: console

        pip install user_voting_rocks

In order to work with the current master, clone this respository, create + activate a virtual environment and then use pip install like this:

.. code-block:: console

        pip install -e .

Usage

-----

Vote for talks you are interested in using the PyConDE 2019 community voting link you have received.

Then reload the page (using your secret link) and save as `Pycon\ Voting.html` using your browser's *Save As* dialog.

To receive recommendations, please try

.. code-block:: console

        user_voting_rocks recommend -i ./Pycon\ Voting.html

This command will output the list of talks (that you have not yet voted on) by *decreasing* order of your predicted preference.

Full command line interface:

.. code-block:: console

        Usage: user_voting_rocks [OPTIONS] COMMAND [ARGS]...

        Commandline interface for user_voting_rocks.

        Options:

        --help  Show this message and exit.

        Commands:

        evaluate   Evaluate the talk voting classifier.

        parse      Parse talk voting html file.

        predict    Predict your interest in a single or multiple talks.

        recommend  Parse html, train model and predict unvoted talks.

        train      Train a model user your talk voting.

* Free software: MIT license

* Documentation: https://user-voting-rocks.readthedocs.io.

Features

--------

* Parse PyConDE 2019 community voting HTML page to JSON

* Train a Naive Bayes classifier on word frequencies of abstracts

* Custom stop word list

* Predict interest in a talk using the trained Naive Bayes classifier

* CLI for parsing, training and predicting with persistence for parsed content and model

Credits

-------

Main author and project maintainer is luphord_.

This package was prepared with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _luphord: https://github.com/luphord

.. _Cookiecutter: https://github.com/audreyr/cookiecutter

.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage