Paper Info
Title
Experiments of Opinion Analysis on the Corpora MPQA and NTCIR-6
Abstract
This paper describes the algorithms and linguistic features used in our participating system for the opin- ion analysis pilot task at NTCIR-6. It presents and dis- cusses the results of our system on the opinion analysis task. It also presents our experiments of opinion anal- ysis on the two corpora MPQA and NTCIR-6, by us- ing our learning based system. Our system was base on the SVM learning. It achieved state of the art re- sults on the MPQA corpus for the two problems, opin- ionated sentence recognition and opinion holder ex- traction. The results using the NTCIR-6 English cor- pus for both training and testing are certainly among the first ones. Our results on the opinionated sen- tence recognition sub-task of the NTCIR-6 were en- couraging. The results on the English evaluation of the NTCIR-6 opinion analysis task were obtained from the models learned from the MPQA corpus. The lower results on the NTCIR-6 opinion holder extraction sub- task, in comparison with those using each corpus for both training and testing, may possibly show that there exist substantial differences between the MPQA cor- pus and the NTCIR-6 English corpus.
Year
Venue
Field
2007
NTCIR
Sentence recognition,Computer science,Support vector machine,Speech recognition,Natural language processing,Artificial intelligence,Opinion analysis
DocType
Citations 
PageRank 
Conference
8
0.61
References 
Authors
10
3
Name
Order
Citations
PageRank
Yaoyong Li139326.55
Kalina Bontcheva22538211.33
Hamish Cunningham32426255.41