Distributional semantic models for affective text analysis

IEEE Transactions on Audio, Speech and Language Processing

Volumn 21, Issue 11, 2013, Pages 2379-2392

  Malandrakis, Nikolaos ^a,b   Potamianos, Alexandros ^a   Iosif, Elias ^a   Narayanan, Shrikanth ^b  

^a TECHNICAL UNIVERSITY OF CRETE   (Greece)

^b University of Southern California   (United States)

Author keywords

Affect; affective lexicon; distributional semantic models; emotion; lexical semantics; natural language understanding; opinion mining; polarity detection; sentiment analysis; valence

Indexed keywords

AFFECT; AFFECTIVE LEXICON; EMOTION; LEXICAL SEMANTICS; NATURAL LANGUAGE UNDERSTANDING; OPINION MINING; SEMANTIC MODEL; SENTIMENT ANALYSIS; VALENCE;

DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS;

SEMANTICS;

EID: 84886680458     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2013.2277931     Document Type: Article

References (50)

1. L. Lloyd, D. Kechagias, and S. Skiena, "Lydia: A system for largescale news analysis," in Proc. SPIRE, 2005, vol. 3772, Lecture Notes in Computer Science, pp. 161-166.
2. K. Balog, G.Mishne, and M. de Rijke, "Why are they excited? Identifying and explaining spikes in blogmood levels," in Proc. EACL, 2006, pp. 207-210.
3. J. Wiebe and R. Mihalcea, "Word sense and subjectivity," in Proc. COLING/ACL, 2006, pp. 1065-1072.
4. M. Hu and B. Liu, "Mining and summarizing customer reviews," in Proc. SIGKDD, 2004, KDD '04, pp. 168-177. (Pubitemid 40114926)
5. C.M. Lee and S. Narayanan, "Toward detecting emotions in spoken dialogs," IEEE Trans. Speech Audio Process., vol. 13, no. 2, pp. 293-303, May 2005. (Pubitemid 40320247)
6. C. M. Lee, S. Narayanan, and R. Pieraccini, "Combining acoustic and language information for emotion recognition," in Proc. ICSLP, 2002, pp. 873-876.
7. J. Ang, R. Dhillon, A. Krupski, E. Shriberg, and A. Stolcke, "Prosodybased automatic detection of annoyance and frustration in human-computer dialog," in Proc. ICSLP, 2002, pp. 2037-2040.
8. A. Purandare and D. J. Litman, "Humor: Prosody analysis and automatic recognition for friends," in Proc. EMNLP, 2006, pp. 208-215.
9. C. Strapparava and R. Mihalcea, "Semeval-2007 task 14: Affective text," in Proc. SemEval, 2007, pp. 70-74.
10. P. Stone, D. Dunphy, M. Smith, and D. Ogilvie, The General Inquirer: A Computer Approach to Content Analysis. Cambridge, MA, USA: MIT Press, 1966.
11. M. Bradley and P. Lang, "Affective norms for English words (ANEW): Stimuli, instruction manual and affective ratings Center for Research in Psychophysiol. Univ. of Florida, , 1999, Tech. Rep. C-1.
12. A. Esuli and F. Sebastiani, "Sentiwordnet: A publicly available lexical resource for opinion mining," in Proc. LREC, 2006, pp. 417-422.
13. C. Strapparava and A. Valitutti, "WordNet-Affect: An affective extension of WordNet," in Proc. LREC, 2004, vol. 4, pp. 1083-1086.
14. K. Moilanen, S. Pulman, and Y. Zhang, "Packed feelings and ordered sentiments: Sentiment parsing with quasi-compositional polarity sequencing and compression," in Proc. WASSA Workshop ECAI, 2010, pp. 36-43.
15. I. Sag, T. Baldwin, F. Bond, A. Copestake, and D. Flickinger, "Multiword expressions: A pain in the neck for NLP," in Comput. Linguist. Intell. Text Process., 2002, vol. 2276, Lecture Notes in Computer Science, pp. 189-206.
16. N. Malandrakis, A. Potamianos, E. Iosif, and S. Narayanan, "Kernel models for affective lexicon creation," in Proc. Interspeech, 2011, pp. 2977-2980.
17. V. Hatzivassiloglou and K.McKeown, "Predicting the semantic orientation of adjectives," in Proc. ACL, 1997, pp. 174-181.
18. P. Turney andM. L. Littman, Unsupervised learning of semantic orientation from a hundred-billion-word corpus National Research Council of Canada, 2002, Tech. Rep. ERC-1094 (NRC 44929).
19. C. Strapparava, A. Valitutti, and O. Stock, "The affective weight of lexicon," in Proc. LREC, 2006, pp. 423-426.
20. P. Turney and M. L. Littman, "Measuring praise and criticism: Inference of semantic orientation from association," ACM Trans. Inf. Syst., vol. 21, pp. 315-346, 2003.
21. M. Taboada, C. Anthony, and K. Voll, "Methods for creating semantic orientation dictionaries," in Proc. LREC, 2006, pp. 427-432.
22. A. Esuli and F. Sebastiani, "Determining the semantic orientation of terms through gloss classification," in Proc. CIKM, 2005, pp. 617-624. (Pubitemid 44022237)
23. A. Andreevskaia and S. Bergler, "Semantic tag extraction from WordNet glosses," in Proc. LREC, 2006, pp. 413-416.
24. A. Hassan and D. Radev, "Identifying text polarity using random walks," in Proc. ACL, 2010, pp. 395-403.
25. A. Budanitsky and G. Hirst, "Evaluating WordNet-based measures of semantic distance," Comput. Linguist., vol. 32, pp. 13-47, 2006. (Pubitemid 43764024)
26. A. Pargellis, E. Fosler-Lussier, C.-H. Lee, A. Potamianos, and A. Tsai, "Auto-induced semantic classes," Speech Commun., vol. 43, pp. 183-203, 2004.
27. D. Bollegala, Y. Matsuo, and M. Ishizuka, "Measuring semantic similarity between words using web search engines," in Proc. Int. Conf. World Wide Web, 2007, pp. 757-766. (Pubitemid 47582305)
28. M. Baroni and A. Lenci, "Distributional memory: A general framework for corpus-based semantics," Comput. Linguist., vol. 36, no. 4, pp. 673-721, 2010.
29. E. Agirre, E. Alfonseca, K. Hall, J. Kravalova, M. Pasca, and A. Soroa, "A study on similarity and relatedness using distributional and Wordnet-based approaches," in Proc. NAACL, 2009, pp. 19-27.
30. E. Iosif and A. Potamianos, "Unsupervised semantic similarity computation between terms using web documents," IEEE Trans. Knowl. Data Eng., vol. 22, no. 11, pp. 1637-1647, Nov. 2010.
31. S. Pado and M. Lapata, "Dependency-based construction of semantic space models," Comput. Linguist., vol. 33, no. 2, pp. 161-199, 2007.
32. E. Iosif and A. Potamianos, "Similarity computation using semantic networks created from Web-harvested data," Nat. Lang. Eng., no. 8, pp. 1-31, 2013, submitted for publication.
33. F.-R. Chaumartin, "UPAR7: A knowledge-based system for headline sentiment tagging," in Proc. SemEval, 2007, pp. 422-425.
34. A. Andreevskaia and S. Bergler, "CLaC and CLaC-NB: Knowledgebased and corpus-based approaches to sentiment tagging," in Proc. SemEval, 2007, pp. 117-120.
35. L. Polanyi and A. Zaenen, "Contextual valence shifters," in Computing Attitude and Affect in Text: Theory and Applications. NewYork,NY, USA: Springer-Verlag, 2006, pp. 1-10.
36. P. M. Vitáanyi, "Universal similarity," in Proc. Inf. Theory Workshop Coding Complex., 2005, pp. 238-243.
37. R. L. Cilibrasi and P. M. Vitáanyi, "The Google similarity distance," IEEE Trans. Knowl. Data Eng., vol. 19, no. 3, pp. 370-383,Mar. 2007. (Pubitemid 46374534)
38. J. Gracia, R. Trillo, M. Espinoza, and E. Mena, "Querying the web: A multiontology disambiguation method," in Proc. Int. Conf. Web Eng., 2006, pp. 241-248. (Pubitemid 46946825)
39. H. Rubenstein and J. B. Goodenough, "Contextual correlates of synonymy," Commun. ACM, vol. 8, no. 10, pp. 627-633, 1965.
40. E. Iosif, A. Tegos, A. Pangos, E. Fosler-Lussier, and A. Potamianos, "Combining statistical similarity measures for automatic induction of semantic classes," in Proc. IEEE/ACL Workshop Spoken Lang. Technol., 2006, pp. 86-89.
41. B. Schuller and T. Knaup, "Learning and knowledge-based sentiment analysis in movie review key excerpts," in Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues, 2011, vol. 6456, Lecture Notes in Computer Science, pp. 448-472.
42. F. J. Pelletier, "The principle of semantic compositionality," Topoi, vol. 13, pp. 11-24, 1994.
43. N. Malandrakis, A. Potamianos, and S. Narayanan, Continuous Models of Affect from Text Using -Grams, 2013, to be published.
44. "Apache Lucene," [Online]. Available: http://www.lucene.apache. org/
45. "Gnu Aspell," [Online]. Available: http://www.aspell.net
46. H. Schmid, "Probabilistic part-of-speech tagging using decision trees," in Proc. Int. Conf. New Methods in Lang. Process., 1994, vol. 12, pp. 44-49.
47. H. Takamura, T. Inui, and M. Okumura, "Extracting semantic orientations of words using spin model," in Proc. ACL, 2005, pp. 133-140.
48. M. Taboada, J. Brooke, M. Tofiloski, K. Voll, and M. Stede, "Lexiconbased methods for sentiment analysis," Comput. Linguist., vol. 1, pp. 1-41, 2010.
49. K. Moilanen and S. Pulman, "Sentiment composition," in Proc. RANLP, 2007, pp. 378-382.
50. J. Carrillo de Albornoz, L. Plaza, and P. Gerváas, "A hybrid approach to emotional sentence polarity and intensity classification," in Proc. CoNLL, 2010, pp. 153-161.