Metadata-Version: 1.1
Name: relevancer
Version: 0.1.0a1
Summary: Relevancer aims at identifying relevant content in social media streams. Text mining is the main approach.
Home-page: https://bitbucket.org/hurrial/relevancerml
Author: Ali Hürriyetoğlu
Author-email: ali.hurriyetoglu@gmail.com
License: GPL
Description: ## Motivation
        
        Relevancer aims at identifying relevant content in social media streams. Text mining is the main approach.
        
        ## Contributors
        
        Ali Hürriyetoglu ([@hurrial](https://twitter.com/hurrial)), Mustafa Erkan Başar ([@me_basar](https://twitter.com/me_basar)), Nelleke Oostdijk, Antal van den Bosch ([@antalvdb](https://twitter.com/antalvdb)), Aslıhan Arslan ([@miniminiibirkus](https://twitter.com/miniminiibirkus)), Uğur Özcan ([@uozcan12](https://twitter.com/uozcan12)), Jurjen Wagemaker ([@jurjenwagemaker](https://twitter.com/jurjenwagemaker)), Ghiath Ghanem, and Ron Bortman.
        
        ## Publications
        
        Hürriyetoglu, A., Gudehus C., Oostdijk, N. H. J., & van den Bosch, A. P. J. (2016a). Relevancer: Finding and Labeling Relevant Information in Tweet Collections. In International Conference on Social Informatics (pp. 1-15). Springer International Publishing. LINK: http://link.springer.com/chapter/10.1007/978-3-319-47874-6_15
        
        Hürriyetoglu, A., Wagemaker J., Oostdijk, N. H. J., & van den Bosch, A. P. J. (2016b). Analysing the Role of Key Term Inflections in Knowledge Discovery on Twitter. In Proceedings of the 2st International Workshop on Knowledge Discovery on the WEB. Cagliari, Italy, September 8-10, 2016.
        
        ## Demo
        
        http://relevancer.science.ru.nl/
        
        ## License
        
        Licensed under GPLv3 (See http://www.gnu.org/licenses/gpl-3.0.html)
        
        
        ## Acknowledgements
        This project was supported by Floodtags ([@FloodTags](https://twitter.com/FloodTags)) and the Dutch national programme COMMIT ([@COMMIT_nl](https://twitter.com/COMMIT_nl) as part of the Infiniti project, Work Package ADNEXT ([@Adnext_Commit](https://twitter.com/Adnext_Commit)).
        
Keywords: machine-learning text-mining clustering k-means
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Text Processing :: Linguistic
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
