该文提出一种基于词汇模糊集合的模糊推理机以识别汉语主观句。首先,根据主、客观词概念的模糊性,我们定义了两个相应的模糊集合,并在模糊统计方法下,利用TF-IDF从训练语料中获取隶属度函数。然后制定了两个模糊IF-THEN规则,并据此实现了一个模糊推理机以识别汉语主观句。NTCIR-6中文数据上的实验结果表明我们的方法具有一定的可行性。
Abstract
This paper presents a fuzzy inference machine for Chinese subjectivity identification. We first define two fuzzy sets for lexical subjectivity and objectivity, respectively. Then, we apply TF-IDF to acquire the relevant membership functions from the training data. Finally, we define two fuzzy IF-THEN rules and thus build a fuzzy inference machine for Chinese subjective sentence recognition. We conduct two experiments on the NTCIR-6 Chinese opinion data. The experimental results demonstrate the feasibility of the proposed method.
关键词
主观句识别 /
模糊集合 /
模糊IF-THEN规则 /
模糊推理机
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Key words
subjectivity recognition /
fuzzy sets /
fuzzy IF-THEN rules /
fuzzy inference machine
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参考文献
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脚注
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基金
国家自然科学基金(60973081, 61170148);黑龙江省人力资源和社会保障厅留学人员科技活动项目
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