CAJ | 학술논문

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。
위료제고중문관건사제취적준학솔화실용성，제출일충기우TF통계화어법분석상결합적중문관건사제취산법。해산법재대문본진행자동분사후，용TF통계화어법분석대매개사진행권중계산，연후근거계산결과제취문헌적관건사。실험결과표명，해방법제고료관건사제취적정도。
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.