Product-oriented sentiment analysis method and system based on fuzzy ontology

A product and aspect technology, applied in the field of product-oriented sentiment analysis method and system based on fuzzy ontology
CN104484815BActive Publication Date: 2017-11-21ๅˆ˜่€€ๅผบ

Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
ๅˆ˜่€€ๅผบ
Publication Date
2017-11-21

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Abstract

The invention discloses a product-oriented sentiment analysis method and system based on fuzzy ontology, the method comprising: product fuzzy ontology, product aspect mining based on latent topic model, context-related sentiment learning in product ontology, and product-oriented sentiment Analysis and product recommendation; the system includes: query processor module, social comment retrieval module, social comment crawling module, text preprocessor module, product ontology mining module, product-oriented sentiment analysis module and product-oriented product recommendation module . The present invention can extract various aspects of commodities with definite descriptions and clear distinctions between aspects; in addition, the present invention can make full use of a large number of consumer comments on social media sites to extract fine-grained market feedback information, thereby helping enterprises to apply The social analysis method disclosed in the present invention captures the collective social intelligence in the network to improve their product design and marketing strategy.
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Description

technical field

[0001] The invention relates to the research field of product sentiment analysis, in particular to a product-oriented sentiment analysis method and system based on fuzzy ontology. Background technique

[0002] In the era of Web 2.0, a large amount of data contributed by users (for example, consumer reviews on products) is published to various social media (for example, epinions.com and facebook.com) and e-commerce websites (for example, amazon.com )superior. However, the problem of information overload makes it extremely difficult for businesses or individual consumers to capture the social intelligence embedded in these online reviews. The explosion of user-provided data (eg, consumer reviews) in social networks has driven the development of social analysis tools to automatically extract, analyze, and summarize user-generated content. Among them, sentiment analysis (also known as opinion mining, opinion analysis, or subjectivity analysis) is an important s...

Claims

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