Use your personal talk voting for PyConDE 2019 to predict your interest in a talk.
Project description
User Voting Rocks
Use your personal talk voting for PyConDE 2019 to predict your interest in a talk.
Usage: user_voting_rocks [OPTIONS] COMMAND [ARGS]...
Commandline interface for user_voting_rocks.
Options:
--help Show this message and exit.
Commands:
parse Parse talk voting html file.
predict Predict your interest in a single or multiple 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.
History
0.1.0 (2019-06-28)
First release on PyPI.
Project details
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Source Distribution
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