DocumentCode
1733973
Title
Is artificial immune system suitable for opinion mining?
Author
Samsudin, Norlela ; Puteh, Mazidah ; Hamdan, Abdul Razak ; Nazri, Mohd Zakree Ahmad
Author_Institution
Fac. of Comput. & Math. Sci., Univ. Teknol. MARA Terengganu, Dungun, Malaysia
fYear
2012
Firstpage
131
Lastpage
136
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.
Keywords
Bayes methods; Web sites; artificial immune systems; data mining; natural language processing; pattern classification; support vector machines; AIS; Jaccard coefficient; Malaysian online movie reviews; Sorensen coefficient; artificial immune system; cosine similarity; k-nearest network; naïve Baiyes; natural language programming techniques; opinion mining; string similarity functions; support vector machine; Data mining; Immune system; Motion pictures; Sociology; Statistics; Support vector machines; Training; artificial immune system; malaysian; movie reviews; opinion mining; sentiment mining;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining and Optimization (DMO), 2012 4th Conference on
Conference_Location
Langkawi
Print_ISBN
978-1-4673-2717-6
Type
conf
DOI
10.1109/DMO.2012.6329811
Filename
6329811
Link To Document