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Cube for news storage and analysis

Project description

Summary

Cube for news storage and analysis

This cube provides an implementation of Semnews:

  • store news articles and tweets.

  • extract and synthetize information.

  • provide semantic useful and original visualisation.

  • analytics tools and datamining/machine learning processings.

Installation

Creation of the instance:

  • Create an instance using: cubicweb-ctl create semnews <name-of-instance>

  • Create the instance’s database using: cubicweb-ctl db-create <name-of-instance>

Add articles sources

Source of articles could be created using:

  • Blogs/RSS feeds:

    session.create_entity('CWSource', name=<name of the source>, type=u'datafeed',
                          parser=u'rss-parser', lang=<lang of the source>,
                          url=<url of the blog/rss feed>,
                          config=u'synchronization-interval=120min')
  • Tweet:

    session.create_entity('CWSource', name=<name of the source>, type=u'datafeed',
                          parser=u'tweet-parser', lang=<lang of the source>,
                          url=<url of the blog/rss feed>,
                          config=u'synchronization-interval=120min')

The synchronization interval could be setted to a more specific value, or setted to “no” for manual synchronization only.

Semnews comes with some predifined blogs/tweets/rss feeds:

  • Some french political blogs. You can add them using:

    cubicweb-ctl shell <name-of-instance> <path-to-cube-code-source>/migration/examples_blogs_fr.py
  • Some international english newspapers. You can add them using:

    cubicweb-ctl shell <name-of-instance> <path-to-cube-code-source>/migration/examples_newspapers.py
  • Some french newspapers. You can add them using:

    cubicweb-ctl shell <name-of-instance> <path-to-cube-code-source>/migration/examples_newspapers_fr.py
  • Some french politician tweets. You can add them using:

    cubicweb-ctl shell <name-of-instance> <path-to-cube-code-source>/migration/examples_twitters_fr.py

Add Named Entities sources

Semnews is based on a named entities process, that you have to define:

session.create_entity('NerProcess', name=<name of process>, host=<appid or sparql endpoint url>,
                      type=<rql or sparql>, lang=<optional lang of the ner source>,
                      request=<request to be performed>)

See the document of the NER cube for more details. Example of source:

session.create_entity('NerProcess', name=u'dbpedia38-en', host=u'ner',
                      type=u'rql', lang=u'en',
                      request=u'Any U WHERE X label %(token)s, X cwuri U, '
                               'X ner_source NS, NS name "dbpedia38-en"')

Commands

Semnews provide to commands:

  • A command to extract named entities from articles:

    cubicweb-ctl process-ner <name-of-instance>
  • A command to cleanup recognized entities according to some Dbpedia categories (see entities/external_resources.py):

    cubicweb-ctl cleanup-ner <name-of-instance>

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