Mining consumer dialog in online forums

Internet Research

Volumn 22, Issue 3, 2012, Pages 275-297

  Kaiser, Carolin ^a   Bodendorf, Freimut ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

Consumer behaviour; Data analysis; Digital communication systems; Information exchange; Internet; Social networks; Text mining

Indexed keywords

EID: 84861830004     PISSN: 10662243     EISSN: None     Source Type: Journal    
DOI: 10.1108/10662241211235653     Document Type: Article

References (68)

1. Adar, E. and Adamic, L.A. (2005), "Tracking information epidemics in blogspace", Proceedings of the International Conerence on Web Intelligence, Compiegne.
2. Agarwal, N., Liu, H., Tang, L. and Yu, P.S. (2008), "Identifying the influential bloggers in a community", Proceedings of the International Conference on Web Search and Web Data Mining, ACM, New York, NY, pp. 207-218.
3. Apte, C., Damerau, F. and Weiss, S.M. (1998), "Text mining with decision trees and decision rules", Proceedings of the Conference on Automated Learning and Discovery, Pittsburgh, PA.
4. Austin, J.L. (1962), How to Do Things with Words, Clarendon Press, Oxford.
5. Bickart, B. and Schindler, R.M. (2001), "Internet forums as influential sources of consumer information" in Journal of Interactive Marketing, Vol. 15, No. 3, pp. 31-40.
6. Bodendorf, F. and Kaiser, C. (2009), "Detecting opinion leaders and trends in online social networks", Proceedings of the 2nd Workshop on Social Web Search and Mining, Hong Kong.
7. Bortz, J., Lienert, G. and Boehnke, L. (2000), Verteilungsfreie Methoden in der Biostatistik, Springer, Berlin, (Distribution-free Methods in Bio-Statistics).
8. Bun, K.K. and Ishizuka, M. (2006), "Emerging topic tracking system in WWW" in Knowledge-Based Systems, Vol. 19, No. 3, pp. 164-71.
9. Cai, K., Bao, S., Yang, Z., Tang, J., Ma, R., Zhang, L. and Su, Z. (2011), "OOLAM: an opinion oriented link analysis model for influence persona discovery", Proceedings of the 4th ACM International Conference on Web Search and Data Mining, ACM, New York, pp. 645-654.
10. Chang, C.L., Chen, D.Y. and Chuang, T.R. (2002), "Browsing news-groups with a social network analyzer", Proceedings of the Sixth International Conference on Information Visualization, London.
11. Chatterjee, P. (2001), "Online reviews: do consumers use them" in Gilly, M.C. and Meyers-Levy, J. (Eds.), Advances in Consumer Research, Vol. 28, Association for Consumer Research, Valdosta, GA, pp. 129-33.
12. Chen, Y. and Xie, J. (2008), "Online consumer review: word-of-mouth as a new element of marketing communication mix" in Management Science, Vol. 54, No. 3, pp. 477-91.
13. Chu, K.-M. (2009), "A study of members' helping behaviors in online community" in Internet Research, Vol. 19, No. 3, pp. 279-92.
14. Cohen, J. (1960), "A coefficient of agreement for nominal scales" in Educational and Psychological Measurement, Vol. 20, pp. 37-46.
15. Cortes, C. and Vapnik, V.N. (1995), "Support vector networks" in Machine Learning, Vol. 20, pp. 273-97.
16. Dave, K., Lawrence, S. and Pennock, D.M. (2003), "Mining the peanut gallery: opinion extraction and semantic classification of product reviews", Proceedings of the 12th International World Wide Web Conference, ACM Press, Budapest, pp. 519-528.
17. Doddington, G., Mitchell, A., Przybocki, M., Ramshaw, L., Strassel, S. and Weischedel, R. (2004), "The Automatic Content Extraction (ACE) program - tasks, data, and evaluation", Proceedings of the 4th International Conference on Language Resources and Evaluation, Lisbon, pp. 837-840.
18. Domingos, P. and Pazzani, M.J. (1997), "On the optimality of the simple Bayesian classifier under zero-one loss" in Machine Learning, Vol. 29, Nos 2/3, pp. 103-30.
19. Ekman, P. (1993), "Facial expression and emotion" in American Psychologist, Vol. 48, No. 8, pp. 384-92.
20. Frost, D., Goode, S. and Hart, D. (2010), "Individualist and collectivist factors affecting online repurchase intentions" in Internet Research, Vol. 20, No. 1, pp. 6-28.
21. Ganapathibhotla, M. and Liu, B. (2008), "Mining opinions in comparative sentences", Proceedings of the 22nd International Conference on Computational Linguistics, Manchester, pp. 241-248.
22. Garfinkel, H. and Sacks, H. (1986), "On formal structures of practical actions" Garfinkel, H. (Ed.), Ethnomethodological Studies of Work, Routledge & Kegan Paul, London.
23. Glance, M., Hurst, M., Nigam, K., Siegler, M., Stockton, R. and Tomokiyo, T. (2005), "Analyzing online discussion for marketing intelligence", Proceedings of the 14th International World Wide Web Conference, Chiba, pp. 1172-3.
24. Gomez, V., Kaltenbrunner, A. and Lopez, V. (2008), "Statistical analysis of the social network and discussion threads in Slashdot", Proceedings of the International World Wide Web Conference, ACM Press, Beijing.
25. Gottlieb, J. (2011), "Social media users actively seek and share advice", available at: www.roiresearch.com/blog/post/2011/01/04/Social-Media-Users-Actively-Seek-and-Share-Advice.aspx (accessed 6 October 2011).
26. Goyal, A., Bonchi, F. and Lakshmanan, L.V. (2008), "Discovering leaders from community actions", Proceedings of the International Conference on Information and Knowledge Management, ACM, Napa Valley, CA.
27. Graubner-Muller, A. (2011), Web Mining in Social Media: Use Cases, Business Value, and Algorithmic Approaches for Corporate Intelligence, Social Media, Norderstedt.
28. Ivanovic, E. (2005), "Dialogue act tagging for instant messaging chat sessions", Proceedings of the ACL Student Research Workshop, pp. 79-84.
29. Java, A., Kolari, P., Finin, T. and Oates, T. (2006), "Modeling the spread of influence on the blogosphere", Proceedings of the 15th International World Wide Web Conference, Edinburgh.
30. Kaiser, C. and Bodendorf, F. (2009), "Opinion and relationship mining in online forums", Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, Milan, pp. 128-31.
31. Kao, A. and Poteet, S.R. (2007), "Overview" in Kao, A. and Poteet, S.R. (Eds.), Natural Language Processing and Text Mining, Springer, London, pp. 1-7.
32. Katz, E. and Lazarsfeld, P.F. (1955), Personal Influence: The Part Played by People in the Flow of Mass Communication, The Free Press, Glencoe, IL.
33. Keller, E.B. and Berry, J. (2003), The Influentials, The Free Press, New York, NY.
34. Kleinberg, J.M. (1999), "Authoritative sources in a hyperlinked environment" in Journal of the ACM, Vol. 46, No. 5, pp. 604-32.
35. Ku, L.W., Liang, Y.T. and Chen, H.H. (2006), "Opinion extraction, summarization and tracking in news and blog corpora", Proceedings of AAAI - 2006 Spring Symposium on Computational Approaches to Analyzing Weblogs, available at: www.aaai.org/Papers/Symposia/Spring/2006/SS-06-03/SS06-03-020.pdf.
36. Lang, P. (1995), "The emotion probe: studies of motivation and attention" in American Psychologist, Vol. 50, No. 5, pp. 372-85.
37. Landis, J.R. and Koch, G.G. (1977), "The measurement of observer agreement for categorical data" in Biometrics, Vol. 33, No. 1, pp. 159-74.
38. Lee, J., Park, D.-H. and Han, I. (2011), "The different effects of online consumer reviews on consumers' purchase intentions depending on trust in online shopping malls" in Internet Research, Vol. 21, No. 2, pp. 187-206.
39. Linell, P. and Markova, I. (1993), "Acts in discourse: from monological speech acts to dialogical inter-acts" in Journal for the Theory of Social Behaviour, Vol. 23, No. 2, pp. 173-95.
40. Liu, B., Hu, M. and Cheng, J. (2005), ACM Press, New York, NY, "Opinion observer: analyzing and comparing opinions on the web", Proceedings of the 14th International World Wide Web Conference.
41. Lu, H.-P. and Hsiao, K.-L. (2007), "Understanding intention to continuously share information on weblogs" in Internet Research, Vol. 17, No. 4, pp. 345-61.
42. Mutton, P. (2004), "Inferring and visualizing social networks on internet relay chat", Proceedings of the 8th International Information Visualization Conference, Washington, DC, pp. 35-43.
43. Nasukawa, T. and Yi, J. (2003), "Sentiment analysis: capturing favorability using natural language processing", Proceedings of the 2nd International Conference on Knowledge Capture, ACM, New York, NY, pp. 70-7.
44. Page, L., Brin, S., Motwani, R. and Winograd, T. (1999), "The pagerank citation ranking: bringing order to the web", Technical Report 1999-66, Stanford InfoLab, Stanford, CA.
45. Pang, P., Lee, L. and Vaithyanathan, S. (2002), "Thumbs up? Sentiment classification using machine learning techniques", Proceedings of the Conference on Empirical Methods in Natural Language Processing, ACM, New York, NY, pp. 79-86.
46. Picard, R. (1997), Affective Computing, MIT Press, Cambridge, MA.
47. Quinlan, J.R. (1992), C4.5: Programs for Machine Learning, Morgan Kaufman, San Mateo, CA.
48. Randic, M. (1975), "On characterization of molecular branching" in Journal of the American Chemical Society, Vol. 97, pp. 6609-15.
49. Rogers, E.M. (2003), Diffusion of Innovations, 5th ed., The Free Press, New York, NY.
50. Schlossberg, H. (1954), "3-dimensions of emotions" in Psychological Review, Vol. 61, No. 2, pp. 81-8.
51. Scott, J. (2003), Social Network Analysis: A Handbook, Sage Publications, London.
52. Shu, W. and Chuang, Y.-H. (2011), "The perceived benefits of six-degree-separation social networks" in Internet Research, Vol. 21, No. 1, pp. 26-45.
53. Solomon, M.R., Bamossy, G., Askegaard, S. and Hogg, M.K. (2006), Consumer Behavior, 3rd ed., Pearson Education, Harlow.
54. Song, X., Chi, Y., Hino, K. and Tseng, B.L. (2007), "Identifying opinion leaders in the blogosphere", Proceedings of the 16th ACM Conference on Information and Knowledge Management, Lisbon, pp. 971-4.
55. Steffes, E.M. and Burgee, L.E. (2009), "Social ties and online word of mouth" in Internet Research, Vol. 19, No. 1, pp. 42-59.
56. Stolcke, A., Ries, K., Coccaro, N., Shriberg, E., Bates, R., Jurafsky, D., Taylor, P., Martin, R., Van EssDykema, C. and Meteer, M. (2000), "Dialogue act modeling for automatic tagging and recognition of conversational speech" in Computational Linguistics, Vol. 26, No. 3, pp. 339-73.
57. Turner, T.C., Smith, M., Fisher, D. and Welser, H.T. (2005), "Picturing Usenet: mapping computer-mediated collective action", Journal of Computer Mediated Communication, Vol. 10 No. 4, available at: http://jcmc.indiana.edu/vol10/issue4/turner.html.
58. Turney, P. (2002), "Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews", Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, July 6-12, Philadelphia, PA.
59. Valente, T.W. (1999), Network Models of the Diffusion of Innovations, Hampton Press, Cresskill, NJ.
60. Viermetz, M., Skubacz, M., Ziegler, C.-N. and Seipel, D. (2008) in pp. 215-20, "Tracking topic evolution in news environments", Proceedings of the 10th IEE Conference on E-commerce Technology and the 5th IEEE Conference on Enterprise Computing, E-Commerce and E-Services, Washington, DC, July 22-24.
61. Wassermann, S. and Faust, K. (1999), Social Network Analysis - Methods and Applications, Cambridge University Press, Cambridge.
62. Weiss, S.M., Indurkhya, N., Zhang, T. and Damerau, F.J. (2005), Text Mining - Predictive Methods for Analyzing Unstructured Information, Springer, New York, NY.
63. Welser, H.T., Gleave, E., Fisher, D. and Smith, M. (2007), "Visualizing the signatures of social roles in online discussion groups", Journal of Social Structure, Vol. 8 No. 2, available at: http://www.cmu.edu/joss/content/articles/volume8/Welser/.
64. Weng, J., Lim, E.-P., Jiang, J. and He, Q. (2010), "TwitterRank: finding topic-sensitive influential Twitterers", Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, ACM, New York, NY, pp. 261-70.
65. Wilson, T., Wiebe, J. and Hwa, R. (2004), "Just how mad are you? Finding strong and weak opinion clauses", Proceedings of the 19th National Conference on Artificial Intelligence, San Jose, CA, 25-29 July, pp. 761-9.
66. Wu, T., Khan, F.M., Fisher, T.A., Shuler, L.A. and Pottenger, W.M. (2002), "Posting act tagging using transformation-based learning", Proceedings of the Workshop on Foundations of Data Mining and Discovery, IEEE International Conference on Data Mining, Maebashi.
67. Yang, Y. and Liu, X. (1999), "A re-examination of text categorization methods", Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Berkeley, CA, pp. 42-9.
68. Forsyth, E.N. and Martell, C.H. (2007), "Lexical and discourse analysis of online chat dialog", Proceedings of the International Conference on Semantic Computing, Las Vegas, NV, pp. 19-26.