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Sentiment classification has attracted increasing interest from Natural Language Processing. This paper explores the genetic algorithm to extract the best feature collections from the semantic features of emotional collections. Conditional Random Fields (CRFs) is employed to model the emotional tendency of web pages which are divided into different types of(More)
Ontology is applied to a real-world web intelligent question answering system in PC troubleshooting domain as an improvement, so semantic relations need to be extracted to construct ontology semi-automatically. The paper mainly pays attention to "product-trouble" relation and "product-attribute" relation. A two stage semantic relation extraction method is(More)
Sentiment classification has attracted increasing interest from Natural Language Processing. The goal of sentiment classification is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. We present the standpoint that uses a human model based on random process to determine text polarity(More)
Semantic similarity is a fundamental concept and widely researched and used in the fields of natural language processing. By analyzing the definition of the concept in HowNet2008, this paper proposes a new method of semantic similarity calculation. The concepts are classified into three classes: simple concept; complex concept and combined concept. To(More)
FAQ can make QA System easily constructed and effective and therefore can be used as one part of a complex QA System. As the base of the FAQ, FAQ database has an important impact on the performance of the whole QA system. In this paper, we improved the clustering method, and combine it with the similarity algorithm to automatically construct the FAQ(More)
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