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Is artificial immune system suitable for opinion mining?

Authors :
Samsudin, Norlela
Puteh, Mazidah
Hamdan, Abdul Razak
Nazri, Mohd Zakree Ahmad
Source :
2012 4th Conference on Data Mining & Optimization (DMO); 1/ 1/2012, p131-136, 6p
Publication Year :
2012

Abstract

Opinion mining is used to automate the process of identifying opinion whether it is a positive or negative view. Majority of previous works on this field uses natural language programming techniques to identify the sentiment. This paper reports the use of artificial immune system (AIS) technique in identifying Malaysian online movie reviews. This opinion mining process uses three string similarity functions namely Cosine Similarity, Jaccard Coefficient and Sorensen Coefficient. In addition, AIS performance was compared with other traditional machine learning techniques, which are Support Vector Machine, Naïve Baiyes and k-Nearest Network. The result of the findings are analyzed and discussed in this paper. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781467327176
Database :
Complementary Index
Journal :
2012 4th Conference on Data Mining & Optimization (DMO)
Publication Type :
Conference
Accession number :
86512593
Full Text :
https://doi.org/10.1109/DMO.2012.6329811