Typicality-Based Review Big Data Mining Method

Abstract

The invention discloses a typicality-based big comment data mining method. The method comprises the steps of conducting comment typicality mining modeling, and conducting modeling and formalized definition on comment typicality calculation and the minimum representative comment set mining problem; (2) automatically constructing a typicality comment prototype; (3) conducting minimum comment set mining, and adopting the minimum comment set mining algorithm for screening out one minimum comment set; (4) adopting the BigSimSet parallel computing method, and calling computing nodes in a distributed cluster for processing a similarity comment detection task in a parallel mode. According to the typicality-based big comment data mining method, on the two viewpoints of the cognitive psychology and the viewpoint mining, the user comment typicality balance method is studied, and the minimum comment set with the representativeness is mined on the basis of the method, so that a potential commodity client is helped to know a certain commodity more comprehensively at multiple angles, the user is helped to screen out the needed commodity more accurately, and the user purchase experience is improved.

Description

technical field [0001] The invention relates to the research field of data mining, in particular to a typicality-based comment big data mining method. Background technique [0002] With the rapid development of the Internet of Things in my country, the comments published on e-commerce websites, social networks and various online forums have shown explosive growth. Individual perspectives on a broad range of topics such as consumer products, organisations, people and social events. These product reviews not only allow companies to understand the real needs of customers or potential customers they care about, but also provide useful guidance for consumers' shopping decisions. According to the 2014 China Internet Network Information Center data, more than 90% of online shopping users will post comments under the products on shopping websites. At the same time, more than half of online shoppers said they read reviews of each product before buying it. For example, Ctrip.com pro...

AI Technical Summary

Problems solved by technology

However, in the era of big data, it is almost impossible to manually browse and analyze a large number of online reviews. It is difficult for traditional review mining methods to analyze and summarize the big data of reviews in real time, and the resulting review analysis results are not ideal.

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