A Model for Opinion Ranking
Resumo
Day after day we have been noticing the growth in the number of opinions about any subject over the Internet. Consequently it’s becoming hard for people to know what others think about a subject. In order to proper han dle this problem, a research field called opinion mining was created. One of its objectives is to classify the relevance of an opinion. Focusing in this point, we present in this paper a model to rank opinions. Our model is based in the composition of a ranking function by combining many concepts. Some of them are related to social aspects of the user who is searching for opinions. Also we discuss how to find the best combination of our parameters and how our mod el is different for projects where opinions were ranked before.Referências
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Attardi, G., Simi , M. (2006) “Blog Mining through Opinionated Words”. Fifteenth Text RE-trieval Conference.
ChaCha. (2012) “Questions & Answers | ChaCha”, [link]. March.
Dawkins, R. (2006) The Selfish Gene. Oxford University Press, USA, This 30th anniversary edition.
Evans, B. M., Chi, E. H. (2010) “An elaborated model of social search”. Information Processing & Management Volume 46, Issue 6, November, Pages 656-678. Collaborative Information Seeking.
Google. (2012) “What you'll find with Search plus Your World”, [link]. March.
Horowitz, D., Kamvar, D. K. (2010) “The Anatomy of a Large-Scale Social Search Engine”. 19th international conference on World Wide Web, pp. 431-440.
Huang, X., Croft, B. (2009) “A Unified Relevance Model for Opinion Retrieval”. 18th ACM conference on Information and knowledge management.
Li, S., Wang, Z., Zhou, G., Lee, S. (2011) “Semi-Supervised Learning for Imbalanced Sentiment Classification”. International Joint Conferences on Artificial Intelligence.
Liu, B. (2012) “Opinion Mining. Technical Report”, [link]. March.
Liu, B. (2010) “Sentiment Analysis and Subjectivity”. Workshop of Social Theory and Social Computing: Steps to Integration, March 22-2.
Manning, C. D., Raghavan, P., Schütze, H. (2008) Introduction to Information Retrieval. Cam-bridge University Press. Cambridge University Press.
Mishne, G. (2006) “Multiple Ranking Strategies for Opinion Retrieval in Blogs”. The Fifteenth Text REtrieval Conference.
Morris, M. R., Teevan, J., Panovich, K. (2010a) “A Comparison of Information Seeking Using Search Engines and Social Networks”. 4th International AAAI Conference on Weblogs and Social Media, pp. 291-294.
Morris, M. R., Teevan, J., Panovich, K. (2010b) “What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior”. 28th international conference on Human factors in computing systems.
Russell, S. Norvig, P. (2009) Artificial Intelligence: A Modern Approach. Prentice Hall. 3rd Edition.
St-Amour, A. (2010) “Just Dance 2 Review”. [link]. March.
Sherrets, D. (2008) “Google’s Marissa Mayer: Social search is the future”. VentureBeat, Jan 31, 2008. [link].
Zhang , M., Ye, X. (2009) “A Generation Model to Unify Topic Relevance”. 31st annual international ACM SIGIR conference on Research and development in information retrieval.
Publicado
02/05/2012
Como Citar
LIMA, Allan D. S.; SICHMAN, Jaime S..
A Model for Opinion Ranking. In: WORKSHOP-ESCOLA DE SISTEMAS DE AGENTES, SEUS AMBIENTES E APLICAÇÕES (WESAAC), 6. , 2012, Florianópolis/SC.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 155-166.
ISSN 2326-5434.
DOI: https://doi.org/10.5753/wesaac.2012.33143.
