摘要
产品评论对产品制造商和潜在消费人群都具有很高的研究价值。除了了解产品评论外,产品制造商还需要获得对其竞争对手产品性能的评论。潜在消费者则可以通过现有评论获得购买建议。因此,研究产品评论特征词、观点词识别技术非常有必要。本文针对中文产品评论,利用自然语言处理(Natural Language Processing,NLP)技术对产品评论中的特征词和观点词进行识别和分析。
Product reviews have high research value for product manufacturers and potential consumers. In addition to understanding product reviews, product manufacturers also need to obtain comments on the performance of their competitors’ products. Potential consumers can obtain purchase suggestions through existing comments. Therefore, it is necessary to study the recognition technology of product comment feature words and opinion words. Aiming at Chinese product reviews, this paper uses NLP technology to identify and analyze feature words and opinion words in product reviews.
作者
晏丞骁
YAN Chengxiao(Bishop's University,Sherbrooke Quebec JIM 1Z7,Canada)
出处
《信息与电脑》
2022年第5期31-33,共3页
Information & Computer
