Full spectrum opinion mining: Integrating domain, syntactic and lexical knowledge

Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012

Volumn , Issue , 2012, Pages 693-700

  Olsher, Daniel J ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN KNOWLEDGE; DOMAIN MODEL; FULL SPECTRUM; KNOWLEDGE REPRESENTATION FORMALISM; LANGUAGE PROCESSING; LEXICAL KNOWLEDGE; LINGUISTIC PROCESSING; NLP SYSTEMS; OPINION MINING; SEMANTIC INFORMATION; VALENCE STRUCTURE;

KNOWLEDGE REPRESENTATION; LINGUISTICS; SEMANTICS; SYNTACTICS;

DATA MINING;

EID: 84873106161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2012.166     Document Type: Conference Paper

References (13)

1. D. Olsher, "COGVIEW & INTELNET: Nuanced Energy-Based Knowledge Representation and Integrated Cognitive-Conceptual Framework For Realistic Culture, Values, and Concept-Affected Systems Simulation," 2012, submitted, available at http://danielolsher.com/cogview.
2. - "Changing discriminatory norms using models of conceptually-mediated cognition and cultural worldviews," in Proceedings, Cognitive Science Society Annual Meeting. Cognitive Science Society, 2012.
3. - "COGPARSE: Brain-Inspired Knowledge-Driven Full Semantics Parsing: Radical Construction Grammar, Categories, Knowledge-Based Parsing & Representation," in Advances in Brain Inspired Cognitive Systems, ser. LNCS, vol. 7366. Springer, 2012, p. 1.
4. C. Lin and Y. He, "Joint sentiment/topic model for sentiment analysis," in Proceedings of the 18th ACM conference on Information and knowledge management, ser. CIKM '09. New York, NY, USA: ACM, 2009, pp. 375-384.
5. K. Dave, S. Lawrence, and D. M. Pennock, "Mining the peanut gallery: opinion extraction and semantic classification of product reviews," in Proceedings of the 12th international conference on World Wide Web. New York, NY, USA: ACM, 2003, pp. 519-528.
6. Q. Miao, Q. Li, and D. Zeng, "Mining fine grained opinions by using probabilistic models and domain knowledge," in Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01, ser. WI-IAT '10. Washington, DC, USA: IEEE Computer Society, 2010, pp. 358-365.
7. Y. Wu, Q. Zhang, X. Huang, and L. Wu, "Phrase dependency parsing for opinion mining," in Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3, ser. EMNLP '09. Stroudsburg, PA, USA: Association for Computational Linguistics, 2009, pp. 1533-1541.
8. E. Cambria, D. Olsher, and K. Kwok, "Sentic activation: A two-level affective common sense reasoning framework," in Proceedings, AAAI-12. AAAI Press, 2012, pp. 186-192.
9. - "Sentic panalogy: Swapping affective common sense reasoning strategies and foci," in Proceedings, Cognitive Science Society Annual Meeting. Cognitive Science Society, 2012, pp. 174-179.
10. A. Goldberg, Constructions at Work: The Nature of Generalization in Language. Oxford, 2006.
11. E. Cambria and A. Hussain, Sentic Computing: Techniques, Tools, and Applications (SpringerBriefs in Cognitive Computation). Springer, 2012.
12. S. Somasundaran and J. Wiebe, "Recognizing stances in ideological on-line debates," in Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. Los Angeles, CA: Association for Computational Linguistics, June 2010, pp. 116-124. [Online]. Available: http://www.aclweb.org/anthology/W10-0214
13. A. Tversky and D. Kahneman, "Loss aversion in riskless choice: A reference-dependent model," The Quarterly Journal of Economics, vol. 106, no. 4, pp. 1039-1061, 1991.