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Product-oriented emotion analysis method and system based on fuzzy body

An analysis method and product technology, applied in marketing and other directions

Active Publication Date: 2015-04-01
刘耀强
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Problems solved by technology

However, there is currently no research work on automatic ontology learning methods for product-oriented sentiment analysis.

Method used

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  • Product-oriented emotion analysis method and system based on fuzzy body
  • Product-oriented emotion analysis method and system based on fuzzy body
  • Product-oriented emotion analysis method and system based on fuzzy body

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Embodiment

[0095] The primary purpose of the present invention is achieved through the following technical solutions: based on fuzzy ontology-oriented product sentiment analysis and product recommendation methods, including:

[0096] The construction of product fuzzy ontology is based on fuzzy sets and fuzzy relations to describe the uncertainty of product aspect recognition and context-sensitive emotional prediction;

[0097] Product aspect mining based on the latent topic model, applying the probabilistic generation model, extracting product aspects from the corpus D that contains product descriptions and consumer reviews, and obtaining the inclusion relationship between aspects through the probabilistic language model to generate product fuzzy ontology Aspect classification relationships in

[0098] Context-dependent sentiment learning in product ontology, by learning offline from a set of consumer reviews including user ratings to establish non-categorical relationships between senti...

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Abstract

The invention discloses a product-oriented emotion analysis method and system based on a fuzzy body. The method comprises the following steps: building a product fuzzy body and carrying out product excavation based on a potential theme model, learning context relative emission in the product bodies, and carrying out product-oriented emotion analysis and recommending the products. The system comprises a query processor module, a social comment searching module, a social comment crawling module, a text preprocessor module, a product body excavating module, a product-oriented emotion analysis module and a product-oriented product recommending module. By virtue of the method and the system, commodities which are clearly described and have clearly distinguished aspects can be extracted. In addition, the fine-granularity market feedback information can be extracted by fully using a high quantity of consumer reviews on a social media website, so that collective society intelligence in the network can be obtained by enterprises according to the society analysis method disclosed by the invention, and thus the design and marketing strategy of products of the enterprises can be improved.

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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Application Information

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IPC IPC(8): G06Q30/02
Inventor 刘耀强
Owner 刘耀强
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