Curriculum Vitae Recognition System Base On Identification Of Semi-Structured Text

Resume is a kind of usual text. Because of large huge number of this kind of text it is necessary to get the text information more efficiently and accurately. This paper is about how to realize this aim.First, text analysis more dependent on computers rather than artificial because of the Huge quantity of the Semi-structured text; second, we are able to get the accurate result according to the feture of Semi-structured text and lots of skills about text analysis, such as regulation match, relation analysis, statistics and so on.In this question for discussion, we mainly have a research in curriculum vitae and try to obtain the information of semi-structured text, such as resume, by computers. In this research, there are three fruits: first, we summarize many kinds of algorithm to help us achieve the aim; second, we obtain some specific algorithm for resume information; third, we have designed a system which could realize information extraction of semi-structured text.This paper is composed of five parts: First, the application of semi-structured text, the need and feasibility of semi-structured text and production of this study (Resume Parser System) are introduced in prelude; second, the definition of semi-structured text, text feature and the solutions are showed in the the second chapters; third, the Resume Parser System introduction which includes system design and algorithm research is in the third and the forth chapters; finally, the fifth chapter is summary.