期刊名称：Indian Journal of Innovations and Developments
印刷版ISSN：2277-5382
电子版ISSN：2277-5390
出版年度：2015
卷号：4
期号：7
页码：1-5
语种：English
出版社：Indian Society for Education and Environment
摘要：Objectives: The main objective of this research is to improve the topical relations by extracting the opinion targets as well as opinion words, and achieve the higher performance using word alignment model concept. Methods: Partially Supervised Word Alignment Model (PSWAM) is used for word alignment in existing system. The Latent Dirichlet Allocation (LDA) model is used for discovering opinion word relation extraction in proposed system. Findings: The proposed method achieves high performance in terms of sensitivity and specificity. Application/Improvements: The proposed system is done by using Latent Dirichlet Allocation (LDA) which is used to increase the performance for number of dataset more efficiently.
其他摘要：Objectives: The main objective of this research is to improve the topical relations by extracting the opinion targets as well as opinion words, and achieve the higher performance using word alignment model concept. Methods: Partially Supervised Word Alignment Model (PSWAM) is used for word alignment in existing system. The Latent Dirichlet Allocation (LDA) model is used for discovering opinion word relation extraction in proposed system. Findings: The proposed method achieves high performance in terms of sensitivity and specificity. Application/Improvements: The proposed system is done by using Latent Dirichlet Allocation (LDA) which is used to increase the performance for number of dataset more efficiently.
关键词：Opinion Mining; Word Alignment Model; Opinion Targets Extraction; Opinion Words Extraction.
