CAJ | 학술논문

随着互联网和电子商务的发展，用户在购买或使用商品之后会在网络站点上发表对产品的评论，大量的产品评论中所包含的丰富信息，可以为生产厂商和用户提供重要的决策依据。基于文本的语义和语言分析，提出了从产品评论中提取用户关注的产品特征的方法，并根据用户的关注程度对产品特征进行排序；同时，根据观点词的极性值判定用户对产品特征的情感倾向以及情感倾向强度。本研究采用从互联网上获得的针对笔记本电脑的产品评论作为实验对象，实验结果初步证明该方法具有良好的准确率和召回率。
수착호련망화전자상무적발전，용호재구매혹사용상품지후회재망락참점상발표대산품적평론，대량적산품평론중소포함적봉부신식，가이위생산엄상화용호제공중요적결책의거。기우문본적어의화어언분석，제출료종산품평론중제취용호관주적산품특정적방법，병근거용호적관주정도대산품특정진행배서；동시，근거관점사적겁성치판정용호대산품특정적정감경향이급정감경향강도。본연구채용종호련망상획득적침대필기본전뇌적산품평론작위실험대상，실험결과초보증명해방법구유량호적준학솔화소회솔。
With the development of the Internet and e-commerce, users can write their opinions about the product on the website after they buy it or use it. There are a large number of product reviews contain abundant information which can help manufacturers and users to make important decisions. Based on semantic and linguistic analysis, this paper proposes a method which can extract product features from the online reviews and rank them based on customer attention strength. At the same time, the sentiment orientation users have on the feature is determined according to the polarity scores of opinion words. The online reviews about notebook Computers are used as experimental data. Experimental results show that the method achieved good precision and recall rate.