Abstract
The ease of publishing content on the internet has produced new applications that did not exist before. Discussion websites are one of these and have become a common tool between internet users. Discussions on the internet have conversation structure, in which there is asynchronous communication between participants on multiple interleaved topics, thus resulting in difficulty for readers to come up with the big picture regarding content. Producing a summary of these discussions is a real challenge. This paper presents the motivations for discussion Summarizations and why it is important. It also discusses the different methods used on thread Summarization. Some researchers consider the thread as single documents while others implement the multi-documents technique, by taking advantage of available thread features that can be exploited in producing the summary. We also point out some of the peculiarities of the task of thread Summarization which have brought about many challenges, and suggest a number of solutions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A. M. Kaplan and M. Haenlein, “Users of the world, unite! The challenges and opportunities of Social Media,” Business horizons, vol. 53, pp. 59-68, 2010.
Z. Xiang and U. Gretzel, “Role of social media in online travel information search,” Tourism management, vol. 31, pp. 179-188, 2010.
A. Carbonaro, “Towards an Automatic Forum Summarization to Support Tutoring,” in Technology Enhanced Learning. Quality of Teaching and Educational Reform, ed: Springer, 2010, pp. 141-147.
R. Farrell, et al., “Summarization of discussion groups,” in Proceedings of the tenth international conference on Information and knowledge management, 2001, pp. 532-534.
A. Nenkova and K. McKeown, Automatic summarization: Now Publishers Inc, 2011.
S. Hariharan, et al., “Opinion mining and summarization of reviews in web forums,” in Proceedings of the Third Annual ACM Bangalore Conference, 2010, p. 24.
Z. Ren, et al., “Summarizing web forum threads based on a latent topic propagation process,” in Proceedings of the 20th ACM international conference on Information and knowledge management, 2011, pp. 879-884.
J. Hatori, et al., “Multi-topical discussion summarization using structured lexical chains and cue words,” in Computational Linguistics and Intelligent Text Processing, ed: Springer, 2011, pp. 313-327.
M. Hu, et al., “Comments-oriented blog summarization by sentence extraction,” in Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 2007, pp. 901-904.
L. Zhou and E. Hovy, “On the summarization of dynamically introduced information: Online discussions and blogs,” in Proceedings of AAAI-2006 Spring Symposium on Computational Approaches to Analyzing Weblogs, Stanford, CA, 2006.
M. Sayyadiharikandeh, et al., “PostRank: a new algorithm for incremental finding of persian blog representative words,” in Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012, p. 17.
Z. Yang, et al., “Social context summarization,” in Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2011, pp. 255-264.
C. Lin, et al., “Simultaneously modeling semantics and structure of threaded discussions: a sparse coding approach and its applications,” in Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval, 2009, pp. 131-138.
X. Hu, et al., “Exploiting internal and external semantics for the clustering of short texts using world knowledge,” in Proceedings of the 18th ACM conference on Information and knowledge management, 2009, pp. 919-928.
L. Zhou and E. Hovy, “On the summarization of dynamically introduced information: Online discussions and blogs,” in AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAI-CAAW), 2006, pp. 237-242.
M. Klaas, “Toward indicative discussion fora summarization,” UBC CS TR-2005-04, 2005.
M. Hu, et al., “Comments-oriented blog summarization by sentence extraction,” in Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, 2007, pp. 901-904.
J. Morris and G. Hirst, “Lexical cohesion computed by thesaural relations as an indicator of the structure of text,” Computational linguistics, vol. 17, pp. 21-48, 1991.
R. Barzilay and M. Elhadad, “Using lexical chains for text summarization,” in Proceedings of the ACL workshop on intelligent scalable text summarization, 1997, pp. 10-17.
A. Nenkova and K. McKeown, “A survey of text summarization techniques,” in Mining Text Data, ed: Springer, 2012, pp. 43-76.
L. Page, et al., “The PageRank citation ranking: bringing order to the web,” 1999.
X. Wan, “An exploration of document impact on graph-based multi-document summarization,” in Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2008, pp. 755-762.
Acknowledgments
This work is supported by Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under Research University Grant Category (VOT Q.J130000.2528.02H99).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media Singapore
About this paper
Cite this paper
Almahy, I., Salim, N. (2014). Web Discussion Summarization: Study Review. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_73
Download citation
DOI: https://doi.org/10.1007/978-981-4585-18-7_73
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-4585-17-0
Online ISBN: 978-981-4585-18-7
eBook Packages: EngineeringEngineering (R0)