人工免疫系统适合舆论挖掘吗?

Norlela Samsudin, Mazidah Puteh, A. Hamdan, M. Nazri
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引用次数: 11

摘要

观点挖掘用于自动识别观点是积极的还是消极的过程。在此领域的大部分工作都使用自然语言编程技术来识别情感。本文报道了人工免疫系统(AIS)技术在识别马来西亚在线电影评论中的应用。该意见挖掘过程使用了三个字符串相似度函数,即余弦相似度、Jaccard系数和Sorensen系数。此外,还将AIS的性能与其他传统机器学习技术进行了比较,这些技术包括支持向量机(Support Vector machine)、Naïve Baiyes和k-Nearest Network。本文对研究结果进行了分析和讨论。
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Is artificial immune system suitable for opinion mining?
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.
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