Intelligent question-answer system and analysis method

Abstract

The invention belongs to the technical field of computers, and discloses an intelligent question-answer system and an analysis method. The analysis method comprises the following steps of: collectingrelated questions of a data set spring and analyzing the questions; after data analysis, carrying out preprocessing such as word segmentation and keyword extraction on the data set; expressing relevancy between the questions and answers by using an association rule; automatically searching answers in a database according to answers of users; and expressing relevancy between questions and relevancybetween answers. The intelligent question-answer system comprises a crawler unit, a word segmentation unit, a keyword extraction unit, a semantic similarity detection unit, a cluster unit and an association rule unit. According to the system and the method, intelligent question-answer of various forms of questions is supported, so that convenience is brought to users, the work efficiency is improved and the corporate image is enhanced.

Description

technical field [0001] The invention belongs to the field of computer technology, and in particular relates to an intelligent question answering system and analysis method. Background technique [0002] From early digital libraries, expert systems to today's search engines, people have been pursuing fast and accurate information acquisition methods. At present, the data resources on the network are vast and intricate, and the information needs of users are ever-changing and diverse. Traditional information retrieval technologies such as the expression of information needs based on keyword combinations and semantic analysis based on shallow analysis seem to be unable to meet the needs of current users. Intelligent question answering technology satisfies users' more precise information needs in a more natural interactive way through in-depth data processing and organizational management. However, most of the current intelligent question answering systems use the keyword retri...

AI Technical Summary

Problems solved by technology

[0004] First, the lack of openness: the FAQ library is used as a search resource, and the content is limited. It is difficult to answer user questions outside the FAQ library, and it is difficult to meet user needs.

Second, lack of intelligence: in the retrieval based on keyword matching, the matching algorithm only stays on the surface of the language without touching the semantics, so it is difficult to further improve the retrieval effect: moreover, most systems require users to use keywords However, the user's search needs are often complex and cannot be expressed by a simple combination of several keywords. If the user cannot express his needs clearly, the intelligent question answering system will not be able to satisfy the user. s answer

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