Sentiment assessment of text by analyzing linguistic features and contextual valence assignment

Applied Artificial Intelligence

Volumn 22, Issue 6, 2008, Pages 558-601

  Shaikh, Mostafa Al Masum ^a   Prendinger, Helmut ^b   Ishizuka, Mitsuru ^a  

^a UNIVERSITY OF TOKYO   (Japan)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

LINGUISTICS; SEMANTICS; TURBULENT FLOW;

DATA-SETS; DEPENDENCY RELATIONS; DIFFERENT DOMAINS; EMOTIONAL STATES; LINGUISTIC FEATURES; PERFORMANCE GAINS; RULE-BASED APPROACHES; SEMANTIC DEPENDENCY; SET OF RULES; VERB FRAMES;

INFORMATION THEORY;

EID: 48849091785     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839510802226801     Document Type: Review

References (60)

1. Carenini, G., R. T. Ng, and E. Zwart. 2005. Extracting knowledge from evaluative text, In: Proceedings of the 3rd International Conference on Knowledge Capture Alberta, Canada, pp. 11-18.
2. Cesarano, C., B. Dorr, A. Picariello, D. Reforgiato, A. Sagoff, and V. S. Subrahmanian. 2006. OASYS: An opinion analysis system, In: Proceedings of AAAI-2006 Spring Symposium on Computational Approaches to Analyzing Weblogs, Boston, MA, pp. 21-26.
3. English Vocabulary. 2006. English Club. http://www.englishclub.com/ vocabulary. Last accessed December, 2006.
4. Eriksson, B. 2006. Sentiment classification of movie reviews using linguistic parsing. http://pages.cs.wisc.edu/~apirak/cs/cs838/eriksson_final. pdf. Last accessed October, 2007.
5. Esuli, A. and F. Sebastiani. 2005. Determining the semantic orientation of terms through gloss analysis. In: Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM-2005), Bremen, Germany, pp. 617-624.
6. Esuli, A. and F. Sebastiani. 2006. SentiWordNet: A publicly available lexical resource for opinion mining. In: Proceedings of LREC-06, 5th Conference on Language Resources and Evaluation, Genova, Italy, pp. 417-422.
7. Fellbaum, C. (ed.). 1999. WordNet: An Electronic Lexical Databases. Cambridge, MA: MIT Press.
8. Fitrianie, S. and L. J. M. Rothkrantz. 2006. Constructing knowledge for automated text-based emotion expressions. In: Proceedings of the International Conference on Computer Systems and Technologies, (CompSysTech-06), Vol. 6, Veliko Tarnovo, Bulgaria, pp. 1-6.
9. Fleiss, J. L. 1971. Measuring nominal scale agreement among many raters. Psychological Bulletin 76(5):378-382.
10. Gamon, M. 2004. Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis. In: Proceedings of the 20th International Conference on Computational Linguistics, Geneva, Switzerland, pp. 841-847.
11. Grefenstette, G., Y. Qu, D. Evans, and J. Shanahan. 2004. Validating the coverage of lexical resources for affect analysis and automatically classifying new words along semantic axes. In: Computing Attitude and Affect in Text: Theory and Applications, eds. J. Shanahan, Y. Qu, and J. Wiebe, pp. 93-107. The Information Retrieval Series Vol. 20, Netherlands: Springer-Verlag.
12. Hatzivassiloglou, V. and K. R. McKeown. 2002. Predicting the semantic orientation of adjectives. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Conference of the European Chapter of the ACL. Madrid, Spain, pp. 174-181.
13. Heise, D. R. 2007. Expressive Order Confirming Sentiments in Social Actions. New York: Springer.
14. Hu, M. and B. Liu. 2004. Mining and summarizing customer reviews. In: Proceedings of the International Conference on Knowledge Discovery and Data Mining, (KDD-04), Seattle, WA, pp. 168-177.
15. Johnson, C. R., C. J. Fillmore, M. R. L. Petruck, C. F. Baker, M. Ellsworth, J. Ruppenhofer, and E. J. Wood, eds. 2006. FrameNet II: Theory and Practice. http://framenet.icsi.berkeley.edu/book/book.pdf. Last accessed December, 2006.
16. Kamps, J. and M. Marx. 2002. Words with attitude. In: Proceedings of the First International Conference on Global WordNet, Mysore, India.
17. Kennedy, A. and D. Inkpen. 2006. Sentiment classification of movie reviews using contextual valence shifter. Computational Intelligence, 22(2):110-125.
18. Kim, S. M. and E. Hovy. 2006. Identifying and analyzing judgment opinions. In: Proceedings of the HLT-NAACL International Conference, New York, pp. 200-207.
19. Kim, S. M. and E. Hovy. 2005. Automatic detection of opinion bearing words and sentences. In: Proceedings of the International Joint Conference on Natural Language Processing, (IJCNLP-05), Jeju Island, Korea, pp. 61-66.
20. Knobloch, S., G. Patzig, A. Mende, and M. Hastall. 2004. Affective news Effects of discourse structure in narratives on suspense, curiosity, and enjoyment while reading news and novels. Communication Research 31(3):259-287.
21. Koppel, M. and I. Shtrimberg. 2004. Good news or bad news? Let the market decide. In: Proceedings of the. AAAI Spring Symposium on Exploring Attitude and Affect in Text, Palo Alto, CA, pp. 86-88.
22. Liu, H., H. Lieberman. and T. Selker. 2003. A model of textual affect sensing using real-world knowledge, In: Proceedings of the International Conference on Intelligent User Interface (IUI-03), Miami, FL, pp. 125-132.
23. Liu, H. and P. Singh. 2004. ConceptNet: A practical commonsense reasoning toolkit. BT Technology Journal 22(4): 211-226.
24. Machinese Syntax. 2007. Connexor. http://www.connexor.eu/technology/ machinese/machinese syntax. Last accessed January, 2008.
25. Mihalcea, R. and H. Liu. 2006. A corpus-based approach to finding happiness. In: Proceedings of the AAAI Spring Symposium on Computational Approaches for Analysis of Weblogs, California, Stanford.
26. Mullen, T. and N. Collier. 2004. Sentiment analysis using support vector machines with diverse information sources. In: Proceedings of the International Conference on Empirical Methods in Natural Language Processing (EMNLP-2004), Barcelona, Spain, pp. 412-418.
27. My Yahoo! 2007. My Yahoo! http://my.yahoo.com. Last accessed Feb, 2008.
28. Nasukawa, T. and J. Yi. 2003. Sentiment analysis: Capturing favorability using natural language processing. In: Proceedings of the 2nd International Conference on Knowledge Capture (K-CAP'03), Florida, Sanibel, pp. 70-77.
29. Opinmind. 2006. Discovering Bloggers. http://www.opinmind.com. Last accessed November, 2007.
30. Ortony, A., G. L. Clore, and A. Collins. 1988. The Cognitive Structure of Emotions. New York: Cambridge University Press.
31. Pang, B. and L. Lee. 2005. Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In: Proceedings of the 43rd Annual Meeting of the Association of Computational Linguistics (ACL-05), Michigan, Ann Arbor, pp. 115-124.
32. Pang, B. and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the 42nd Annual Meeting of the Association of Computational Linguistics (ACL-04), Barcelona, Spain, pp. 271-278.
33. Pang, B., L. Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In: Proceedings of the International Conference on Empirical Methods in Natural Language Processing (EMNLP-02), Philadelphia, PA, pp. 79-86.
34. Pennebaker, J. W., M. R. Mehl, and K. G. Niederhoffer. 2003. Psychological aspects of natural language use: Our words, our selves. Annual Review of Psychology, 54:547-577.
35. Pennebaker, J. W., M. E. Francis, and R. J. Booth. 2001. Linguistic Inquiry and Word Count: LIWC (2nd ed.). Mahwah, NJ: Erlbaum.
36. Picard, R. W. 1997. Affective Computing. Cambridge, MA: The MIT Press.
37. Polanyi, L. and A. Zaenen. 2004. Contextual valence shifters. In: Computing Attitude and Affect in Text: Theory and Applications, eds. J. Shanahan, Y. Qu, and J. Wiebe, pp. 1-10. The Information Retrieval Series Vol. 20. Netherlands: Springer Verlag.
38. Riloff, E., J. Wiebe, and T. Wilson. 2003. Learning subjective nouns using extraction pattern bootstrapping. In: Proceedings of the 7th International Conference on Natural Language Learning (CoNLL-03), Edmonton, Canada, pp. 25-32.
39. Rosis, F. and F. Grasso. 2000. Affective natural language generation. Affective Interactions, Towards a New Generation of Computer Interfaces, ed. A. Paiva, pp. 204-218. New York: Springer-Verlag.
40. Russell, J. A., J. A. Bachorowski, and J. M. Fernandez-Dols. 2003. Facial and vocal expressions of emotion. Annual Review of Psychology 54:329-349.
41. Sebastiani, F. 2002. Machine learning in automated text categorization. ACM Computing Surveys 34(1): 1-47. Last accessed November, 2006.
42. Sentiment! 2005. Corpora Software: http://www.corporasoftware.com.
43. Shaikh, M. A. M., H. Prendinger, and M. Ishizuka. 2006a. A cognitively based approach to affect sensing from text. In: Proceedings of the 10th International Conference on Intelligent User Interface (IUI-06), Sydney, Australia, pp. 349-351.
44. Shaikh, M. A. M., M. T. Islam, and M. Ishizuka. 2006b. ASNA: An intelligent agent for retrieving and classifying news on the basis of emotion-affinity. In: Proceedings of the International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC-06), Sydney, Australia, pp. 133-138.
45. Shaikh, M. A. M., H. Prendinger, and M. Ishizuka. 2007a. SenseNet: A linguistic tool to visualize numerical-valance based sentiment of textual data. In: Proceedings of the International Conference on Natural Language Processing (ICON-07), Hyderabad, India, pp. 147-152.
46. Shaikh, M. A. M., H. Prendinger, and M. Ishizuka. 2007b. Assessing sentiment of text by semantic dependency and contextual valence analysis. In: Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII-07), Lisbon, Portugal, pp. 191-202.
47. Stock, O. and C. Strapparava. 2003. Getting serious about the development of computational humor. In: Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, pp. 59-64.
48. Subasic, P. and A. Huettner. 2001. Affect analysis of text using fuzzy semantic typing. IEEE Transactions on Fuzzy Systems 9(4):483-496.
49. Turney, P. 2002. Thumbs up or thumbs down? semantic orientation applied to unsupervised classification of reviews. In: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (ACL-02), Pennsylvania, Philadelphia, pp. 417-424.
50. Turney, P. D. and M. L. Littman. 2003. Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS) 21(4):315-346.
51. Valitutti, A., C. Strapparava, and O. Stock. 2004. Developing affective lexical resources. PsychNology Journal 2(1):61-83.
52. Vincent, N., S. Dasgupta, and S. M. N. Arifin. 2006. Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In: Proceedings of the COLING=ACL, Sydney, Australia, pp. 611-618.
53. Wiebe, J. 2000. Learning subjective adjectives from corpora. In: Proceedings of the 12th International Conference on Innovative Applications of Artificial Intelligence (IAAI-00), Texas, Austin, pp. 735-740.
54. Wiebe, J., R. Bruce, M. Bell, M. Martin, and T. Wilson. 2001. A corpus study of evaluative and speculative language. In: Proceedings of the. 2nd SIGdial Workshop on Discourse and Dialogue (Vol. 16), Aalborg, Denmark, pp. 1-10.
55. Wiebe, J. M., T. Wilson, R. Bruce, M. Bell, and M. Martin. 2004. Learning subjective language. Computational Linguistics 30(3):277-308.
56. Wiebe, J., T. Wilson, and C. Cardie. 2005. Annotating expressions of opinions and emotions in language. Language Resources and Evaluation 39(2-3):165-210.
57. Wiebe, J. and R. Mihalcea. 2006. Word sense and subjectivity. In: Proceedings of the Association for Computational Linguistics Conference (ACL-06), Sydney, Australia, pp. 1065-1072.
58. Wilson, T., J. Wiebe, and P. Hoffmann, 2005. Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of the International Conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT=EMNLP-05), Vancouver, Canada, pp. 347-354.
59. Yu, H. and V. Hatzivassiloglou. 2003. Towards answering opinion questions: Separating facts from opinions and identifying the polarity of opinion sentences. In: Proceedings of the International Conference on Empirical Methods in Natural Language Processing (EMNLP-03), Sapporo, Japan, pp. 129-136.
60. Zhe, X. and A. C. Boucouvalas. 2002. Text-to-emotion engine for real time internet communication. In: Proceedings of the Third International Symposium on Communication Systems, Network and Digital Signal Processing (CSNDSP-02), Staffordshire, UK, pp 164-168.