摘要
为了提高中文关键词提取的准确率和实用性,提出一种基于TF统计和语法分析相结合的中文关键词提取算法。该算法在对文本进行自动分词后,用TF统计和语法分析对每个词进行权重计算,然后根据计算结果提取文献的关键词。实验结果表明,该方法提高了关键词提取的精度。
Aiming at improving accuracy and practicality of Chinese keyword extraction, the paper proposes a Chinese keyword extraction algorithm based on TF statistics and syntactic parsing. After automatic segmentation upon a text, it calculates the weight of each word by TF statistics and syntactic parsing. Then it extracts keywords from documents according to calculation results. Experimental results show that the proposed method improves the accuracy for keyword extraction.
出处
《计算机应用与软件》
CSCD
北大核心
2014年第1期47-49,92,共4页
Computer Applications and Software
关键词
关键词提取
权重计算
语法分析
中文分词
Keyword extraction Weight calculation Syntactic parsing Chinese word segmentation
