消费者感知价值下企业产品在线评论本体构建研究OA

[Purpose/Significance]Effectively constructing an online product review ontology helps enterprises to deeply explore the product attributes and related consumer emotional tendencies in online reviews,and further use them to explore consumer needs to assist business decision-making.[Method/Process]In order to enable enterprises to accurately obtain consumer feedback information,the paper took the perspective of consumer perceived value and used LDA model to mine perceived value topic factors from online review corpus as the topic surface of ontology knowledge distribution;On this basis,the paper used methods such as syntactic dependency analysis,Word2Vec model,and SO-PMI algorithm to fill in the ontology knowledge content.[Result/Conclusion]The paper takes the online reviews of household intelligent sweeping robots as the corpus,practices and evaluates the ontology construction method proposed in the paper,providing a new per-spective for the construction of the product online review ontology knowledge model.