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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
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.