Using EmotiBlog to annotate and analyse subjectivity in the new textual genres

Data Mining and Knowledge Discovery

Volumn 25, Issue 3, 2012, Pages 603-634

  Boldrini, Ester ^a   Balahur, Alexandra ^a   Martínez Barco, Patricio ^a   Montoyo, Andrés ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

Annotation model; Feature selection; New textual genres; Opinion Mining; Sentiment analysis

Indexed keywords

ANNOTATION SCHEME; NATURAL LANGUAGE PROCESSING; NEW TEXTUAL GENRES; NON-TRADITIONAL; OPINION MINING; PERFORMANCE OF SYSTEMS; SENTIMENT ANALYSIS; WEB 2.0;

COMPUTATIONAL LINGUISTICS; DATA MINING; EXPERIMENTS; FEATURE EXTRACTION; LEARNING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL SCIENCES COMPUTING; SOFTWARE AGENTS;

MODEL CHECKING;

EID: 84865579565     PISSN: 13845810     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10618-012-0259-9     Document Type: Conference Paper

References (60)

1. R Artstein M Poesio 2008 Inter-coder agreement for computational linguistics (survey article) Comput Linguist 34 4 555 596 10.1162/coli.07-034-R2
2. Balahur A, Montoyo A (2008) Applying a culture dependent emotion triggers database for text valence and emotion classification. Procesamiento del Lenguaje Natural 40(40)
3. Balahur A, Montoyo A (2009) Semantic approaches to fine and coarse-grained feature-based opinion mining. In: Proceedings of the international conference on application of natural language to information systems, NLDB
4. Balahur A, Montoyo A (2010) OpAL: applying opinion mining techniques for the disambiguation of sentiment ambiguous adjectives in SemEval-2 evaluation exercises on semantic evaluation SemEval-2 task 18. Cophenagen, Sweden
5. Balahur A, Boldrini E, Montoyo A, Martínez-Barco P (2009a) Opinion and generic question answering systems: a performance analysis. In: Proceedings of ACL, 2009, Singapore
6. Balahur A, Boldrini E, Montoyo A, Martínez-Barco P (2009b) A Comparative study of open domain and opinion question answering systems for factual and opinionated queries. In: Proceedings of RANLP 2009
7. Balahur A, Boldrini E, Montoyo A, Martínez- Barco P (2009c) Cross-topic opinion mining for real-time human-computer interaction. In: Proceedings of the workshop on natural language and cognitive science, NLPCS, 2009
8. Balahur A, Boldrini E, Montoyo A, Martínez-Barco P (2010a) Opinion question answering: towards a unified approach. In: Proceedings of the ECAI conference
9. Balahur A, Boldrini E, Montoyo A, Martínez-Barco P (2010b) A unified proposal for factoid and opinionated question answering. In: Proceedings of the COLING conference
10. Balahur A, Boldrini E, Montoyo A, Martínez-Barco P (2010c) The OpAL system at NTCIR 8 MOAT. In: Proceedings of the NTCIR 8 MOAT conference, Tokyo, Japan
11. Balahur A, Steinberger R, Kabadjov M, Zavarella V, Van der Goot E, Halkia M, Pouliquen B, Belyaeva J (2010d) Sentiment analysis in the news. In: Proceedings of the 7th international conference on language resources and evaluation (LREC'2010), Valletta, Malta, 19-21 May 2010, pp 2216-2220
12. Boldrini E, Balahur A, Martínez-Barco P, Montoyo A (2009a) EmotiBlog: a fine-grained model for emotion detection in non-traditional textual. In: Proceedings of WOMSA 2009, Seville, Spain
13. Boldrini E, Balahur A, Martínez-Barco P, Montoyo A (2009b) EmotiBlog: an annotation scheme for emotion detection and analysis in non-traditional textual genres. In: Proceedings of the 5th international conference on data mining. Las Vegas, Nevada, USA
14. Boldrini E, Balahur A, Martínez-Barco P, Montoyo A (2010c) EmotiBlog: a finer-grained and more precise learning of subjectivity expression models. In: Proceedings of the fourth linguistic annotation workshop, association of computational linguistics, Copenhagen, Sweden
15. Carletta J (1996) Assessing agreement on classification tasks: the kappa statistic CoRR cmp lg/9602004
16. Cerini S, Compagnoni V, Demontis A, Formentelli M, Gandini G (2007) Micro-wnop: a gold standard for the evaluation of auto-matically compiled lexical resources for opinion mining. Franco Angeli Editore, Milano
17. Chaovalit P, Zhou L (2005) Movie review mining: a comparison between supervised and unsupervised classification approaches. In: Proceedings of HICSS-05, the 38th Hawaii international conference on system sciences
18. Choi Y, Cardie C, Riloff E, Patwardhan S (2005) Identifying sources of opinions with conditional random fields and extraction patterns. In: Proceedings of HLT/EMNL
19. J Cohen 1960 A coefficient of agreement for nominal scales Edu Psychol Meas 20 1 37 46 10.1177/001316446002000104
20. R Craggs MM Wood 2005 Evaluating discourse and dialogue coding schemes Comput Linguist 31 3 289 296 10.1162/089120105774321109
21. Cui H, Mittal V, Datar M (2006) Comparative experiments on sentiment classification for online product reviews. In: Proceedings of the 21st national conference on artificial intelligence, AAAI
22. Dave K, Lawrence S, Pennock D (2003) Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In: Proceedings of WWW-03
23. Esuli A, Sebastiani F (2006) SentiWordnet: a publicly available resource for opinión mining. In: Proceedings of the 6th international conference on language resources and evaluation
24. Gamon M (2004) Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis. In: Proceedings of COLING-04, the 20th international conference on computational linguistics, Geneva, CH, pp 841-847
25. Gamon M, Aue S, Corston-Oliver S, Ringger E (2005) Mining customer opinions from free text. Lecture notes in computer science
26. Goldberg AB, Zhu J (2006) Seeing stars when there aren't many stars: graph-based semi-supervised learning for sentiment categorization. In: HLT-NAACL 2006 workshop on textgraphs: graph-based algorithms for natural language processing
27. Hatzivassiloglou V, Wiebe J (2000) Effects of adjective orientation and gradability on sentence subjectivity. In: Proceedings of COLING 2000
28. Hu M, Liu B (2004) Mining opinion features in customer reviews. In: Proceedings of nineteenth national conference on artificial intellgience AAAI-2004
29. Kim SM, Hovy E (2004) Determining the sentiment of opinions. In: Proceedings of COLING 2004
30. Lesk M (1986) Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In: proceedings of the SIGDOC conference 1986
31. Lewis D, Gale W (1994) A sequential algorithm for training text classifiers. In: Proceedings of the 17th annual international ACM SIGIR conference on research and development in information retrieval. Springer, New York
32. Liu B (2007) Web data mining. Exploring hyperlinks, contents and usage data, 1st edn. Springer, New York
33. Mathieu J (2005) Annotation of emotions and feeling in texts. Affectve computing and intelligent interaction. Bejing, China
34. Mullen T, Collier M (2004) Sentiment analysis using support vector machines with diverse information sources. In: Proceedings of EMNLP
35. Ng V, Dasgupta S, Arifin SM (2006) Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In: Proceedings 40th annual meeting of the association for computational linguistics
36. Pang B, Lee L (2003) Seeing stars: exploiting class relationships for sentiment categorization with respect to rating scales. In: Proceedings of the 43rd annual meeting of the ACL, pp 115-124
37. Paquet S (2003) Personal Knowledge publishing and its uses in research. Knowledge Board, 10 January
38. Riloff E, Wiebe J (2003) Learning extraction patterns for subjective expressions. In: Proceedings of the 2003 conference on empirical methods in natural language processing
39. JA Russell 1983 Pancultural aspects of the human conceptual organization of emotions J Person Soc Psychol 45 1281 1288 10.1037/0022-3514.45.6.1281
40. Salton G, Lesk ME (1971) Computer evaluation of indexing and text processing. Prentice Hall, Englewood Cliffs, pp 143-180
41. Scherer K (2005) What are emotions? and how can they be measured? Soc Sci Inf 3(44)
42. Scherer K, Wallbott HG (1997) The ISEAR questionnaire and codebook
43. F Sebastiani 2002 Machine learning in automated text categorization ACM Comput Surv (CSUR) 34 1 47 1946632 10.1145/505282.505283
44. Somasundaran S, Wilson T, Wiebe J, Stoyanov V (2007) Qa with attitude: exploiting opinion type analysis for improving question answering in on-line discussions and the news. In: Proceedings of the international conference on weblogs and social media, ICWSM
45. Somasundaran S, Wiebe J, Ruppenhofer J (2008) Discourse level opinion interpretation. In: The 22nd international conference on computational linguistics (COLING)
46. Stoyanov V, Cardie C (2006) Toward opinión summarization: linking the sources. In: Proceedingns of the COLINGACL 2006 workshop on sentiment and subjectivity in text
47. Stoyanov V, Cardie C, Wiebe J (2005) Multiperspective question answering using the opqa corpus. In: Proceedings of the human language technology conference and the conference on empirical methods in natural language processing (HLT/EMNLP)
48. Strapparava C, Milhacea R (2007) SemEval-2007 task 14: affective text
49. Strapparava C, Valitutti A (2004) WordNet-Affect: an affective extension of WordNet. In: Proceedings of the 4th international conference on language resources and evaluation, LREC, Lisbon, May 2004, pp 1083-1086
50. Turney P (2002) Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: Proceedings 40th annual meeting of the association for computational linguistics
51. Turney P, Littman M (2003) Measuring praise and criticism: inference of semantic orientation from association. ACM Trans Inf Syst 21(4):315-346
52. Vapnik V (1995) The nature of statistical learning theory. Springer, New York
53. Wiebe J, Mihalcea R (2006) Word sense and subjectivity. In: Proceedings of the 21st international conference on computational linguistics and 44th annual meeting of the association for computational linguistics. Sydney, Australia, July, pp 1065-1072
54. Wiebe J, Riloff E (2006) Creating Subjective and Objective Sentence Classifiers from Unannotated Texts. In: Proceedings of the 6th international conference on computational linguistics and intelligent text processing (CICLing-05)
55. Wiebe J, Wilson T (2005) Annotating attribution and private states. In: Proceedings of the ACL Workshop on frontiers in corpus annotation II: Pie in the Sky
56. Wiebe J, Wilson T, Cardie C (2005) Annotating expressions of opinions and emotions in language. Lang Resour Eval 1:2165-210
57. Wilson T, Wiebe J, Hwa R (2004a) Just how mad are you? Finding strong and weak opinion clauses. In: Proceedings of AAAI
58. Wilson T, Wiebe J, Hwa R (2004b) Just how mad are you? Finding strong and weak opinion clauses. In: Proceedings of AAAI 2004
59. Wilson T, Wiebe J, Hoffmann P (2005) Recognizing contextual polarity in phrase-level sentiment analysis. In: Proceedings of HLT-EMNLP 2005
60. Yang Y, Pedersen J (1997) A comparative study on feature selection in text categorization. In: Proceedings of ICML-97, 14th international conference on machine learning