Network review emotion mining based on Domain Ontology
XiaoYan Chen, Shufang He
Abstract
Open-access reader
XiaoYan Chen, Shufang He
Abstract
Open-access reader
In the era of e-commerce, network reviews have become one of the most important means for people to exchange and obtain product information. It is an urgent need for consumers and enterprises to quickly and effectively obtain consumers' emotional attitude towards products from a large-scale network review. In order to better extract the product attributes involved in the network reviews and the emotional attitude of the consumer to the product attributes, this paper proposes a method of online comment sentiment analysis based on domain ontology. This method constructs the domain ontology, uses this ontology to extract product attributes, and constructs a domain sentiment dictionary to realize the emotional calculation of product attributes.
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In the era of e-commerce, network reviews have become one of the most important means for people to exchange and obtain product information. It is an urgent need for consumers and enterprises to quickly and effectively obtain consumers' emotional attitude towards products from a large-scale network review. In order to better extract the product attributes involved in the network reviews and the emotional attitude of the consumer to the product attributes, this paper proposes a method of online comment sentiment analysis based on domain ontology. This method constructs the domain ontology, uses this ontology to extract product attributes, and constructs a domain sentiment dictionary to realize the emotional calculation of product attributes.
Key concepts: Ontology, Domain (mathematical analysis), Product (mathematics), Computer science, Sentiment analysis, Order (exchange), Scale (ratio), Data science