Integrating Spanish lexical resources by meta-classifiers for polarity classification

Journal of Information Science

Volumn 40, Issue 4, 2014, Pages 538-554

  Martínez Cámara, Eugenio ^a   Martín Valdivia, M Teresa ^a   Molina González, M Dolores ^a   Perea Ortega, José M ^b  

^a UNIVERSITY OF JAÉN   (Spain)

^b JOINT RESEARCH CENTRE   (Italy)

Author keywords

Lexical resources for opinion mining; meta classifiers; Multilingual Central Repository; SentiWordNet; Spanish lexical resources; stacking algorithm; unsupervised polarity detection

Indexed keywords

DATA MINING;

LEXICAL RESOURCES; META-CLASSIFIERS; MULTILINGUAL CENTRAL REPOSITORY; OPINION MINING; SENTIWORDNET; STACKING ALGORITHMS;

EXPERIMENTS; COMPUTATIONAL COMPLEXITY;

EID: 84904110074     PISSN: 01655515     EISSN: 17416485     Source Type: Journal    
DOI: 10.1177/0165551514535710     Document Type: Article

References (45)

1. Pang B, Lee L. Thumbs up?: Sentiment classification using machine learning techniques. Proceedings of the ACL-02 conference on empirical methods in natural language processing ; 2002 ; 2002. 79.
2. Turney PD. Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews. Proceedings of the 40th annual meeting on Association for Computational Linguistics ; 2002 ; 2002. 417.
3. Baccianella S, Esuli A, Sebastiani F. Sentiwordnet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. Proceedings of the seventh international conference on language resources and evaluation (LREC'10) ; 2010 ; 2010..
4. Atserias J, et al. The MEANING Multilingual Central Repository. Proceedings of the second international global WordNet conference (GWC'04) ; 2004 Brno, Czech Republic ; 2004..
5. Gonzalez-Agirre A, Laparra E, Rigau G. Multilingual Central Repository version 3.0. Proceedings of the 8th international conference on language resources and evaluation (LREC'12) ; 2012 Istambul, Turkey ; 2012..
6. Mihalcea R, Banea C, Wiebe J. Learning multilingual subjective language via cross-lingual projections. Proceedings of annual meeting - Association for Computational Linguistics ; 2007 ; 2007. 976.
7. Liu B. Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies Series. 2012 ; 5 (1). 1-167
8. Tsytsarau M, Palpanas T. Survey on mining subjective data on the web. Data Mining and Knowledge Discovery. 2012 ; 24 (3). 478-514
9. Hu M, Liu B. Mining and summarizing customer reviews. Proceedings of the ACM SIGKDD international conference on knowledge discovery and data mining ; 2004 Seattle, WA ; 2004. 168.
10. Hatzivassiloglou V, Wiebe J. Effects of adjective orientation and gradability on sentence subjectivity. Proceedings of the international conference on computational linguistics ; 2000 ; 2000. 299.
11. Taboada M, Brooke J, Tofiloski M, Voll K, Stede M. Lexicon-based methods for sentiment analysis. Computational Linguistics. 37 (2). 267-307
12. Wilson T, Wiebe J, Hoffmann P. Recognizing contextual polarity in phrase-level sentiment analysis. Proceedings of the human language technology conference and the conference on empirical methods in natural language processing ; 2005 ; 2005. 347.
13. Kamps J, Marx M, Mokken RJ, de Rijke M. Using WordNet to measure semantic orientation of adjectives. The fourth international conference on language resources and evaluation ; 2004 ; 2004. 1115.
14. De Albornoz JC, Plaza L, Gervás P. SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis. Proceedings of the eighth international conference on language resources and evaluation (LREC'12) ; 2012 ; 2012. 3562.
15. Chaumartin FR. UPAR7: a knowledge-based system for headline sentiment tagging. Proceedings of the 4th international workshop on semantic evaluations, SemEval'07, Association for Computational Linguistics ; 2007 ; 2007. 422.
16. Thet TT, Na JC, Khoo CSG. Aspect-based sentiment analysis of movie reviews on discussion boards. Journal of Information Science. 2010 ; 36 (6). 823-848
17. Zhang C, Zeng D, Li J, Wang F-Y, Zuo W. Sentiment analysis of Chinese documents: From sentence to document level. Journal of the American Society for Information Science and Technology. 2009 ; 60 (12). 2474-2487
18. Agi Z, Ljubeš N, Tadi M. Towards sentiment analysis of financial texts in Croatian. Proceedings of language resources and evaluation, European Language Resources Association ; 2010 ; 2010. 1164.
19. Rushdi-Saleh M, Martín-Valdivia MT, Ureña-López LA, Perea-Ortega JM. OCA: Opinion corpus for Arabic. Journal of the American Society for Information Science and Technology. 2011 ; 62: 2045-2054
20. Banea C, Mihalcea R, Wiebe J, Hassan S. Multilingual subjectivity analysis using machine translation. Proceedings of the conference on empirical methods in natural language processing ; 2008 ; 2008. 127.
21. Brooke J, Tofloski M, Taboada M. Cross-linguistic sentiment analysis: From English to Spanish. Proceedings of the international conference RANLP-2009 ; 2009 ; 2009. 50.
22. Cruz FL, Troyano JA, Enriquez F, Ortega J. Experiments in sentiment classification of movie reviews in Spanish. Procesamiento del Lenguaje Natural. 2008 ; 41: 79-80
23. Denecke K. Using SentiWordNet for multilingual sentiment analysis. Proceedings of Data engineering Workshop, ICDEW, IEEE 24th International Conference ; 2008 ; 2008. 507.
24. Ghorbel H, Jacot D. Sentiment analysis of French movie reviews. Advances in Distributed Agent-Based Retrieval Tools. 2011 ; 361: 97-108
25. Martín-Valdivia MT, Martínez-Cámara E, Perea-Ortega JM, Ureña-López LA. Sentiment polarity detection in Spanish reviews combining supervised and unsupervised approaches. Expert Systems with Applications. 2013 ; 40 (10). 3934-3942
26. Perea-Ortega JM, Martín-Valdivia MT, Ureña-López LA, Martínez-Cámara E. Improving polarity classification of bilingual parallel corpora combining machine learning and semantic orientation approaches. Journal of the American Society for Information Science and Technology. 2013 ; 64 (9). 1864-1877
27. Martínez-Cámara E, Martín-Validivia MT, Molina-González MD, Ureña-López LA. Bilingual experiments on an opinion comparable corpus. Proceedings of the 4th workshop on computational approaches to subjectivity, sentiment and social media analysis ; 2013 Atlanta, Georgia ; 2013. 87.
28. Wolpert d H. Stacked generalization. Neural Networks. 1992 ; 5: 241-259
29. Molina-González MD, Martínez-Cámara E, Martín-Valdivia MT, Perea-Ortega JM. Semantic orientation for polarity classification in Spanish reviews. Expert Systems with Applications. 2013 ; 40 (18). 7250-7257
30. Rokach L Data mining and knowledge discovery handbook. Malmon O Rokach L, ed. New York: Springer ; 2005: 957-980.
31. Freund Y, Schapire RE. Experiments with a new boosting algorithm. Machine learning: Proceedings of the thirteenth international conference ; 1996 ; 1996. 325.
32. Kennedy A, Inkpen D. Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence. 2006 ; 22 (2). 110-125 (Pubitemid 43787303)
33. Wan X. Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis. Proceedings of the conference on empirical methods in natural language processing ; 2008 ; 2008. 553.
34. Banea C, Mihalcea R., Wiebe J. Multilingual subjectivity: Are more languages better?. Proceedings of the 23rd international conference on computational linguistics ; 2010 ; 2010. 28.
35. Wiebe J, Wilson T, Cardie C. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation. 2005 ; 39 (2-3). 165-210 (Pubitemid 43320361)
36. Balahur A, Turchi M. Comparative experiments using supervised learning and machine translation for multilingual sentiment analysis. Computer Speech & Language. 2014 ; 28 (1). 56-75
37. Breiman L. Bagging predictors. Machine Learning. 1996 ; 24 (2). 123-140 (Pubitemid 126724382)
38. Genkin H, Lewis D, Madigan D. Large-scale Bayesian logistic regression for text categorization. Technometrics. 2004 ; 49 (3). 291-384
39. Ortiz-Martos A, Martín-Valdivia MT, Ureña-López LA, Cumbreras-García MA. Detección automática de Spam utilizando Regresión Logística Bayesiana. Procesamiento del Lenguaje Natural. 2005 ; 35: 127-133
40. Martínez-Cámara E, Martín-Valdivia MT, Ureña López LA. Opinion classification techniques applied to a Spanish corpus. Proceedings of the 16th international conference on natural language processing and information systems ; 2011 ; 2011. 169.
41. Del-Hoyo R, Hupont I, Lacueva FJ, Abadía D. Hybrid text affect sensing system for emotional language analysis. Proceedings of the international workshop on affective-aware virtual agents and social robots ; 2009 ; 2009..
42. Barreiro A, Gonçalo-Oliveira H. Cross-language semantic relations between English and Portuguese. Proceedings of the workshop on Iberian cross-language natural language processing tasks ; 2011 ; 2011. 49.
43. Malvar-Fernández P, Pichel-Campos JR. Generación semiautomática de recursos de Opinion Mining para el gallego a partir del portugués y el español. Proceedings of the workshop on Iberian cross-language natural language processing tasks ; 2011 ; 2011. 59.
44. Schmid H. Probabilistic part-of-speech tagging using decision trees. Proceedings of the international conference on new methods in language processing ; 1994 ; 1994. 44.
45. Polanyi L, Zaenen A Computing attitude and affect in text: Theory and applications. Wiebe Janyce, ed. Dordrecht: Springer ; 2006: 1-10.