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Is artificial immune system suitable for opinion mining?
- 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