Research and implementation of keyword extraction algorithm based on professional background knowledge

Abstract

With the development of Internet, Data information is growing at an explosive rate. With the era of big data coming, information social value can only be reflected by people's utilization. In the vast amounts of data, keywords as relatively concise summary of the documentation, its can provide efficient information management methods. Keyword extraction technology (KET)can help people get the data information accurately and quickly, so KET is widely used in the information management system. According to the study of keyword extraction method recent years, the classic TF — IDF algorithm and TextRank algorithm were studied in this paper, TextRank algorithm improved and innovated based on the idea of TF-IDF algorithm, the process of TextRank improved algorithms designed and experiments proved the accuracy of the keyword extraction of the improved TextRank algorithm.