WillemJan / topics

Predict news article topics and DBpedia description topics and type.

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This is a fork of https://github.com/KBNLresearch/topics/,

with an added category, music.

Model test output

Topics

Number of multi-class classifiers for news articles (topic) and DBpedia descriptions (topic and type). For further info and training source code see Jupyter notebooks for topic and type.

Web interface

A Bottle web application can be started with ./topics.py accepting requests with a newspaper article or DBpedia url as parameter, e.g. http://kbresearch.nl/topics_music/?url=http://nl.dbpedia.org/resource/Albert_Einstein. The application will work out the type of resource and language for itself and return all available classifier results.

About

Predict news article topics and DBpedia description topics and type.

License:Apache License 2.0


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Language:Python 100.0%