Learning domain-specific sentiment lexicons for predicting product sales
Lau, Raymond, Zhang, Wenping, Bruza, Peter D., & Wong, K.F. (2011) Learning domain-specific sentiment lexicons for predicting product sales. In Proceeding of the 2011 IEEE 8th International Conference on e-Business Engineering (ICEBE), IEEE, Beijing, China, pp. 131-138.
Generic sentiment lexicons have been widely used for sentiment analysis these days. However, manually constructing sentiment lexicons is very time-consuming and it may not be feasible for certain application domains where annotation expertise is not available. One contribution of this paper is the development of a statistical learning based computational method for the automatic construction of domain-specific sentiment lexicons to enhance cross-domain sentiment analysis. Our initial experiments show that the proposed methodology can automatically generate domain-specific sentiment lexicons which contribute to improve the effectiveness of opinion retrieval at the document level. Another contribution of our work is that we show the feasibility of applying the sentiment metric derived based on the automatically constructed sentiment lexicons to predict product sales of certain product categories. Our research contributes to the development of more effective sentiment analysis system to extract business intelligence from numerous opinionated expressions posted to the Web
Impact and interest:
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Conference Paper|
|Keywords:||Business intelligence, Kullback-Leibler Divergence, Sentiment Analysis, Sentiment Lexicon , Statistical Learning|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)|
|Divisions:||Current > Schools > School of Information Systems|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||18 Jul 2012 08:25|
|Last Modified:||18 Jul 2012 08:25|
Repository Staff Only: item control page