Title :
Automatic Opinion Analysis Based on SVM and Distance-Weighted Computing
Author :
Guo, Wei ; Lin, Hongfei
Author_Institution :
Dept. of Comput. Sci. & Eng., Dalian Univ. of Technol., Dalian
Abstract :
This paper presents an SVM and distance-weighted computing based approach to analyze opinion, which includes two aspects: opinion automatic detection and opinion holder automatic extraction. We established a series related resources to opinion analysis, such as opinion-bearing verb set, orientation indicating adverb set etc. Based on these related resources, we accomplish the detection of opinions via SVM. On the basis of opinion automatic detection, we use opinion-bearing verb as a key indicator and apply distance-weighted computing method to extract the opinion holder (or holders) of the given sentence. With expanding the holders to noun phrases by pattern matching, the results of opinion holder automatic extraction are further improved.
Keywords :
classification; computational linguistics; pattern matching; support vector machines; automatic opinion detection; classification problem; distance-weighted computing; noun phrase; opinion holder automatic extraction; opinion-bearing verb; pattern matching; support vector machine; Blogs; Computer science; Entropy; Information analysis; Information retrieval; Information technology; Ontologies; Pattern matching; Support vector machines; Vocabulary;
Conference_Titel :
Advanced Language Processing and Web Information Technology, 2008. ALPIT '08. International Conference on
Conference_Location :
Dalian Liaoning
Print_ISBN :
978-0-7695-3273-8
DOI :
10.1109/ALPIT.2008.80