Classifying short texts for a Social Media monitoring system

• Autores: Núria Bel Rafecas , Jorge Diz Pico, Montserrat Marimon Felipe , Joel Pocostales
• Localización: Procesamiento del lenguaje natural, ISSN 1135-5948, Nº. 59, 2017, págs. 57-64
• Idioma: inglés
• Títulos paralelos:
  • Clasificación de textos cortos para un sistema monitor de los Social Media
• Enlaces
  • Texto completo
• Resumen
  • español

    Presentamos el sistema de clasificación de oraciones y textos cortos en categorías del Marketing Mix desarrollado en el marco del proyecto LPS-BIGGER. El sistema clasifica textos cortos de los Social Media en categorías consideradas como indicadores de negocio para poder monitorizar la opinión de los

  • English

    We present the system for the classification of sentences and short texts into Marketing Mix classes developed within the LPS-BIGGER project. The system classifies short texts from Social Media into categories that are considered business indicators to monitor consumer's opinion.

• Referencias bibliográficas
  • Borden, N. H. 1964. The concept of the Marketing Mix, Journal of advertising research 4:2-7.
  • Bornebusch, F. G. Cancino, M. Diepenbeck, R. Drechsler, S. Djomkam, A. Nzeungang Fanseu, M. Jalali, M. Michael, J. Mohsen. M. Nitze, C....
  • Brun, C., D. N. Popa, and C. Roux. 2014. Xrce: Hybrid classification for aspect-based sentiment analysis. In Proceedings of the 8th Evaluation...
  • Brychcín, T., M. Konkol, and J. Steinberger. 2014. Uwb: Machine learning approach to aspect-based sentiment analysis. In Workshop on Semantic...
  • Castellucci, G., S. Filice, D. Croce, and R. Basili. 2014. Unitor: Aspect based sentiment analysis with structured learning. In Workshop...
  • García Pablos, A., M. Cuadros, and G. Rigau. 2014. V3: Unsupervised generation of domain aspect terms for aspect based sentiment analysis....
  • Hall, M., E. Frank, G. Holmes, G., B. Pfahringer, P. Reutemann, and I. H. Witten. 2009. The WEKA Data Mining Software: An Update. SIGKDD...
  • Joachims, T. 2001. A Statistical Learning Model of Text Classification with Support Vector Machines. In Proceedings of the Conference on...
  • Kiritchenko, S., X. Zhu, C. Cherry, and S. Mohammad. 2014. “Nrc-canada-2014: Detecting aspects and sentiment in customer reviews”. In Proceedings...
  • Levy, O., Y. Goldberg, and I.Ramat-Gan. 2014. Linguistic regularities in sparse and explicit word representations. CoNLL-2014.
  • Liu, P. and H. Meng. 2014. “Seemgo: Conditional random fields labeling and maximum entropy classification for aspect based sentiment analysis”....
  • McCarthy, E.J. (1978), Basic Marketing, a Managerial Approach, Sixth Edition, Homewood, Ill.: Richard D. Irwin, Inc. Mikolov, T., K. Chen,...
  • Nandan, N., D. Dahlmeier, A. Vij, and N. Malhotra. 2014. “Sapri:A constrained and supervised approach for aspect-based sen timent analysis,”...
  • Padró, Ll. and E. Stanilovsky. 2012. FreeLing 3.0: Towards Wider Multi-linguality. In Proceedings of the Language Resources and Evaluation...
  • Pekar, V., N. Afzal, and B. Bohnet. 2014. “Ubham: Lexical resources and dependency parsing for aspect-based sentiment analysis,” in Proceedings...
  • Pontiki, M., D. Galanis, I. Pavlopoulos, H. Papageorgiou, I. Androutsopoulos and S. Manandhar. (2014). SemEval 2014 Task 4: Aspect Based...
  • Schulze Wettendorf, C., R. Jegan, A. Körner, J. Zerche, N. Plotnikova, J. Moreth, T. Schertl, V. Obermeyer, V. Streil, T. Willacker, and...
  • Taboada, M., J. Brooke, M. Tofiloski, K. Voll, and M. Stede. 2011. Lexicon-based methods for sentiment analysis. Computational Linguistics,...
  • Turney, P.D. and P. Pantel. 2010. From frequency to meaning: Vector space models of semantics. Journal of Artificial Intelligence Research,...
  • Vázquez, S., O. Muñoz-García, I. Campanella, M. Poch, B. Fisas, N. Bel, and G. Andreu. 2014. "A classification of user-generated content...
  • Veselovská K. and A. Tamchyna. 2014. “U´ fal: Using hand-crafted rules in aspect based sentiment analysis on parsed data”. In (SemEval...
  • Vinh, N. X., J. Epps, and J. Bailey. 2009. Information theoretic measures for clusterings comparison: is a correction for chance necessary?...
  • Zhang, F., Z. Zhang, and M. Lan. 2014. “Ecnu: A combination method and multiple features for aspect extraction and sentiment polarity classification,”...