LyS at CLEF RepLab 2014: Creating the state of the art in author influence ranking and reputation classification on Twitter

CEUR Workshop Proceedings

Volumn 1180, Issue , 2014, Pages 1468-1478

  Vilares, David ^a   Hermo, Miguel ^a   Alonso, Miguel A ^a   Gómez Rodríguez, Carlos ^a   Vilares, Jesús ^a  

^a UNIVERSITY OF A CORUÑA   (Spain)

Author keywords

Author ranking; Machine learning; Natural language processing; Reputation monitoring; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

AUTHOR RANKING; CLASSIFICATION TASKS; NATURAL LANGUAGE PROCESSING; PART OF SPEECH; SEMANTIC INFORMATION; STATE OF THE ART; TWITTER;

SOCIAL NETWORKING (ONLINE);

EID: 84961344541     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. E. Amigó, J. Carrillo-de-Albornoz, I. Chugur, A. Corujo, J. Gonzalo, E. Meij, M. De Rijke, D. Spina, Overview of RepLab 2014: author profiling and reputation dimensions for Online Reputation Management, in: Proceedings of the Fifth International Conference of the CLEF initiative, 2014.
2. M. Taulé, M. A. Martí, M. Recasens, AnCora: Multilevel Annotated Corpora for Catalan and Spanish, in: N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odjik, S. Piperidis, D. Tapias (Eds.), Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco, 2008.
3. M. P. Marcus, M. A. Marcinkiewicz, B. Santorini, Building a large annotated corpus of English: The Penn treebank, Computational linguistics 19 (2) (1993) 313-330.
4. E. Brill, A simple rule-based part of speech tagger, in: Proceedings of the workshop on Speech and Natural Language, HLT'91, Association for Computational Linguistics, Stroudsburg, PA, USA, 1992, pp. 112-116. doi:10.3115/1075527.1075553.
5. D. Vilares, M. A. Alonso, C. Gómez-Rodríguez, A syntactic approach for opinion mining on Spanish reviews, Natural Language Engineering. Available on CJO2013. doi:10.1017/S1351324913000181.
6. M. Collins, Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms, in: Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing - Volume 10, EMNLP'02, Association for Computational Linguistics, Stroudsburg, PA, USA, 2002, pp. 1-8. doi:10.3115/1118693.1118694. URL http://dx.doi.org/10.3115/1118693.1118694
7. J. Nivre, J. Hall, J. Nilsson, A. Chanev, G. Eryigit, S. Kübler, S. Marinov, E. Marsi, Maltparser: A language-independent system for data-driven dependency parsing., Natural Language Engineering 13 (2) (2007) 95-135.
8. J. Pennebaker, M. Francis, R. Booth, Linguistic inquiry and word count: LIWC 2001, Mahway: Lawrence Erlbaum Associates (2001) 71.
9. D. Vilares, M. A. Alonso, C. Gómez-Rodríguez, On the usefulness of lexical and syntactic processing in polarity classification of twitter messages, Journal of the Association for Information Science Science and Technology to appear.
10. M. Joshi, C. Penstein-Rosé, Generalizing dependency features for opinion mining, in: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers, ACLShort'09, Association for Computational Linguistics, Suntec, Singapore, 2009, pp. 313-316.
11. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, I. H. Witten, The weka data mining software: an update, SIGKDD Explorations 11 (1) (2009) 10-18. doi:10.1145/1656274.1656278. URL http://doi.acm.org/10.1145/1656274.1656278
12. R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, C.-J. Lin, LIBLINEAR: A library for large linear classification, The Journal of Machine Learning Research 9 (2008) 1871-1874.
13. J. C. Platt, Advances in kernel methods, MIT Press, Cambridge, MA, USA, 1999, Ch. Fast training of support vector machines using sequential minimal optimization, pp. 185-208.