基于web的意见挖掘的三种方法分析

2011 International Conference on Machine Learning and Cybernetics Pub Date : 2011-07-10 DOI:10.1109/ICMLC.2011.6016768

Haibing Ma, Yibing Geng, Junrui Qiu

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引用次数: 13

摘要

为了测量文档的语义取向，我们实现了一种混合了三种不同方法的意见挖掘工具:第一种是基于语义模式的意见挖掘工具，简化了自然语言语法的结构;二是基于加权情感词汇，将其作为语义特征词;第三种是基于传统的KNN或SVM文本分类方法。我们的实验表明，每种方法都有自己的缺点和优点。

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Analysis of three methods for web-based opinion mining

For the purpose of measuring semantic orientation of documents, we implemented an opinion mining tool which hybrids three different methods: The first one is based on semantic patterns, which simplify the structure of the natural language syntax; the second is based on the weighted sentiment lexicon, which used as semantic feature words; and the third one is based on traditional KNN or SVM text classification method. Our experiments show that each method has its own shorts and advantages.

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2011 International Conference on Machine Learning and Cybernetics

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