Lexicon-based sentient analysis by mapping conveyed sentiment to intended sentiment

International Journal of Web Engineering and Technology

Volumn 9, Issue 2, 2014, Pages 125-147

  Hogenboom, Alexander ^a   Bal, Malissa ^a   Frasincar, Flavius ^a   Bal, Daniella ^a   Kaymak, Uzay ^b   De Jong, Franciska ^c  

^a ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

Na ve Bayes; Sentiment analysis; Sentiment mappings; Star ratings; Support vector machine; SVM; Web engineering

Indexed keywords

MAPPING; SENTIMENT ANALYSIS; STARS; SUPPORT VECTOR MACHINES;

LANGUAGE INDEPENDENTS; NATURAL LANGUAGES; SENTIMENT SCORES; STAR RATINGS; STEP FUNCTIONS; UNSTRUCTURED NATURAL LANGUAGE; USER-GENERATED CONTENT; WEB ENGINEERING;

MODELING LANGUAGES;

EID: 84907272850     PISSN: 14761289     EISSN: 17419212     Source Type: Journal    
DOI: 10.1504/IJWET.2014.064768     Document Type: Conference Paper

References (43)

1. Abbasi, A., Chan, H. and Salem, A. (2008) Sentiment analysis in multiple languages: feature selection for opinion classification in web forums, ACM Transactions on Information Systems, Vol. 26, No. 3, pp.1-34.
2. Baccianella, S., Esuli, A. and Sebastiani, F. (2010) SentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion mining, in 7th Conference on International Language Resources and Evaluation (LREC 2010), European Language Resources Association, pp.2200-2204.
3. Bal, D., Bal, M., van Bunningen, A., Hogenboom, A., Hogenboom, F. and Frasincar, F. (2011) Sentiment analysis with a multilingual pipeline, in Web Information System Engineering, 12th International Conference on Web Information System Engineering (WISE 2011), Lecture Notes in Computer Science, Springer, Vol. 6997, pp.129-142.
4. Bautin, M., Vijayarenu, L. and Skiena, S. (2008) International sentiment analysis for news and blogs, in 2nd International Conference on Weblogs and Social Media (ICWSM 2008), AAAI Press, pp.19-26.
5. Cambria, E. and Hussain, A. (2012) Sentic Computing: Techniques, Tools, and Applications, 2nd ed., Springer, Dordrecht, Heidelberg, New York, London.
6. Cambria, E., Schuller, B., Xia, Y. and Havasi, C. (2013) New avenues in opinion mining and sentiment analysis, IEEE Intelligent Systems, Vol. 28, No. 2, pp.15-21.
7. Cesarano, C., Dorr, B., Picariello, A., Reforgiato, D., Sagoff, A. and Subrahmanian, V. (2006) OASYS: an opinion analysis system, in AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs (CAAW 2006), AAAI Press, pp.21-26.
8. Chenlo, J. and Losada, D. (2011) Effective and efficient polarity estimation in blogs based on sentence-level evidence, in 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Association for Computing Machinery, pp.365-374.
9. Chenlo, J., Hogenboom, A. and Losada, D. (2013) Sentiment-based ranking of blog posts using rhetorical structure theory, in 18th International Conference on Applications of Natural Language to Information Systems (NLDB 2013), Lecture Notes in Computer Science, Springer, Vol. 7934, pp.13-24.
10. Dau, W., Xue, G., Yang, Q. and Yu, Y. (2007a) Co-clustering based classification, in 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), Association for Computing Machinery, pp.210-219.
11. Dau, W., Xue, G., Yang, Q. and Yu, Y. (2007b) Transferring naive Bayes classifiers for text classification, in 22nd Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI 2007), AAAI Press, pp.540-545.
12. Devitt, A. and Ahmad, K. (2007) Sentiment polarity identification in financial news: a cohesion-based approach, in 45th Annual Meeting of the Association of Computational Linguistics (ACL 2007), Association for Computational Linguistics, pp.984-991.
13. Ding, X., Lu, B. and Yu, P. (2008) A holistic lexicon-based approach to opinion mining, in 1st ACM International Conference on Web Search and Web Data Mining (WSDM 2008), Association for Computing Machinery, pp.231-240.
14. Feldman, R. (2013) Techniques and applications for sentiment analysis, Communications of the ACM, Vol. 56, No. 4, pp.82-89.
15. Gliozzo, A. and Strapparava, C. (2005) Cross language text categorization by acquiring multilingual domain models from comparable corpora, in ACL Workshop on Building and Using Parallel Texts (ParaText 2005), Association for Computational Linguistics, pp.9-16.
16. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P. and Witten, I. (2009) The WEKA data mining software: an update, SIGKDD Explorations, Vol. 11, No. 1, pp.10-18.
17. Heerschop, B., Goossen, F., Hogenboom, A., Frasincar, F., Kaymak, U. and de Jong, F. (2011a) Polarity analysis of texts using discourse structure, in 20th ACM Conference on Information and Knowledge Management (CIKM 2011), Association for Computing Machinery, pp.1061-1070.
18. Heerschop, B., van Iterson, P., Hogenboom, A., Frasincar, F. and Kaymak, U. (2011b) Analyzing sentiment in a large set of web data while accounting for negation, in Advances in Intelligent Web Mastering-3, 7th Atlantic Web Intelligence Conference (AWIC 2011), Advances in Intelligent and Soft Computing, Springer, Vol. 86, pp.195-205.
19. Hofman, K. and Jijkoun, V. (2009) Generating a non-English subjectivity lexicon: relations that matter, in 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009), Association for Computing Machinery, pp.398-405.
20. Hogenboom, A., Bal, D., Frasincar, F., Bal, M., de Jong, F. and Kaymak, U. (2013) Exploiting emoticons in sentiment analysis, in Twenty-Eighth Symposium on Applied Computing (SAC 2013), ACM, pp.703-710.
21. Hogenboom, A., Boon, F. and Frasincar, F. (2012) A statistical approach to star rating classification of sentiment, in Management Intelligent Systems, 1st International Symposium on Management Intelligent Systems (IS-MiS 2012), Advances in Intelligent Systems and Computing, Springer, Vol. 171, pp.251-260.
22. Hogenboom, A., Hogenboom, F., Kaymak, U., Wouters, P. and de Jong, F. (2010) Mining economic sentiment using argumentation structures, in Advances in Conceptual Modeling-Applications and Challenges, 7th International Workshop on Web Information Systems Modeling (WISM 2010) at the 29th International Conference on Conceptual Modeling (ER 2010), Lecture Notes in Computer Science, Springer, Vol. 6413, pp.200-209.
23. Hogenboom, A., van Iterson, P., Heerschop, B., Frasincar, F. and Kaymak, U. (2011) Determining negation scope and strength in sentiment analysis, in 2011 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2011), IEEE, pp.2589-2594.
24. Jansen, B., Zhang, M., Sobel, K. and Chowdury, A. (2009) Twitter power: tweets as electronic word of mouth, Journal of the American Society for Information Science and Technology, Vol. 60, No. 11, pp.2169-2188.
25. Korte Reviews (2011) Korte Reviews [online] http://kortereviews.tumblr.com/ (accessed July 2011).
26. Lemaire (2011) Lemaire Film Reviews [online] http://www.lemairefilm.com/ (accessed July 2011).
27. Melville, P., Sindhwani, V. and Lawrence, R. (2009) Social media analytics: channeling the power of the blogosphere for marketing insight, in 1st Workshop on Information in Networks (WIN 2009).
28. Metacritic (2011) Metacritic Reviews [online] http://www.metacritic.com/browse/movies/title/dvd/(accessed July 2011).
29. Mihalcea, R., Banea, C. and Wiebe, J. (2007) Learning multilingual subjective language via cross-lingual projections, in 45th Annual Meeting of the Association for Computational Linguistics (ACL 2007), Association for Computational Linguistics, pp.976-983.
30. Moens, M. and Boiy, E. (2007) A machine learning approach to sentiment analysis in multilingual web texts, Information Retrieval, Vol. 12,No. 5, pp.526-558.
31. Paltoglou, G. and Thelwall, M. (2010) A study of information retrieval weighting schemes for sentiment analysis, in 48th Annual Meeting of the Association for Computational Linguistics (ACL 2010), Association for Computational Linguistics, pp.1386-1395.
32. Pang, B. and Lee, L. (2004) A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts, in 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004), Association for Computational Linguistics, pp.271-280.
33. Pang, B. and Lee, L. (2008) Opinion mining and sentiment analysis, Foundations and Trends in Information Retrieval, Vol. 2, No. 1, pp.1-135.
34. Pang, B., Lee, L. and Vaithyanathan, S. (2002) Thumbs up? Sentiment classification using machine learning techniques, in Empirical Methods in Natural Language Processing (EMNLP 2002), Association for Computational Linguistics, pp.79-86.
35. Short Reviews (2011) Short Reviews [online] http://shortreviews.net/browse/ (accessed July 2011).
36. Taboada, M., Brooke, J., Tofiloski, M., Voll, K. and Stede, M. (2011) Lexicon-based methods for sentiment analysis, Computational Linguistics, Vol. 37, No. 2, pp.267-307.
37. Taboada, M., Voll, K. and Brooke, J. (2008) Extracting Sentiment as a Function of Discourse Structure and Topicality, Technical Report 20, Simon Fraser University [online] http://www.cs.sfu.ca/research/publications/techreports/#2008 (accessed July 2011).
38. Van der Meer, J., Boon, F., Hogenboom, F., Frasincar, F. and Kaymak, U. (2011) A framework for automatic annotation of web pages using the google rich snippets vocabulary, in 26th Symposium On Applied Computing (SAC 2011), Web Technologies Track, Association for Computing Machinery, pp.765-772.
39. Wan, X. (2009) Co-training for cross-lingual sentiment classification, in Joint Conference of the 47th Annual Meeting of ACL and the 4th International Join Conference on Natural Language Processing of the AFNLP (ACL 2009), Association for Computational Linguistics, pp.235-243.
40. Whitelaw, C., Garg, N. and Argamon, S. (2005) Using appraisal groups for sentiment analysis, in 14th ACM International Conference on Information and Knowledge Management (CIKM 2005), Association for Computing Machinery, pp.625-631.
41. Wiebe, J., Wilson, T., Bruce, R., Bell, M. and Martin, M. (2004) Learning subjective language, Computational Linguistics, Vol. 30, No. 3, pp.277-308.
42. Wierzbicka, A. (1995a) Alternative Linguistics: Descriptive and Theoretical Modes, Chapter Dictionaries vs. Encyclopedias: How to Draw the Line, pp.289-316, John Benjamins Publishing Company, Amsterdam, The Netherlands.
43. Wierzbicka, A. (1995b) Emotion and facial expression: a semantic perspective, Culture Psychology, Vol. 1, No. 2, pp.227-258.