Research on keywords Extraction of Chinese documents based on TEXT-NET

a keywords Extraction algorithm of Chinese documents based on TEXT-NET is proposed. By using Semantic similarity computation of Howmet theory, a text is mapped a TEXT-NET, and then combined with complex network theory and statistical methods to extract keywords. Experimental results show that the recall and precision rate has increased compared with small-world model method and statistical methods, and this method is more flexible because it is independent of fields.