Metadata-Version: 2.1
Name: news-tracking
Version: 1.0.2.202209211638
Summary: Programs used to manage experiments with the document_tracking infrastructure.
Home-page: https://gitlab.univ-lr.fr/cross-lingual-event-tracking/developpement/from-documents-to-events/news_clustering_in_multiple_languages
Author: Guillaume Bernard
Author-email: contact@guillaume-bernard.fr
License: GPLv3 License and 3-Clause BSD Licence
Project-URL: Bug Tracker, https://gitlab.univ-lr.fr/cross-lingual-event-tracking/developpement/from-documents-to-events/news_clustering_in_multiple_languages/-/issues
Description: # Track news stories from news articles
        
        This project is the front-end of the [`document_tracking`](https://gitlab.univ-lr.fr/cross-lingual-event-tracking/developpement/from-documents-to-events/document_tracking) package, which proposes algorithms to track news documents (long articles, telegraphic dispatches, etc.) into news stories (group of documents reporting similar events). It manipulates data following the [`document_tracking_resources`](https://gitlab.univ-lr.fr/cross-lingual-event-tracking/developpement/from-documents-to-events/documents_tracking_resources) format, and all your datasets should complain with it.
        
        ## Installation
        
        ```bash
        pip install news_tracking
        ```
        
        ## Utilities
        
        Once installed, you will be provided new commands which act as a front-end to the utilities your need.
        
        * `news_tracking_miranda`: run the Miranda et al. algorithm (see the `document_tracking` package for more information). on you datasets. It needs to have a model, as the algorithm is supervised. 
        * `news_tracking_miranda_training`: train and export a model for the Miranda et al. algorithm.
        * `news_tracking_kmeans`: run K-Means on a dataset, it can act as a baseline algorithm.
        * `news_tracking_evaluation`: evaluate the clustering of algorithms using Standard and BCubed metrics.
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Operating System :: POSIX :: Linux
Classifier: Intended Audience :: Science/Research
Description-Content-Type: text/markdown
