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Measurement calculation method supporting commodity comment data multidimensional analysis

A product review and multi-dimensional analysis technology, applied in the field of metric calculation that supports multi-dimensional analysis of product review data, and can solve problems such as inability to numerically measure and represent

Active Publication Date: 2013-04-03
DAREWAY SOFTWARE
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AI Technical Summary

Problems solved by technology

In the OLAP system, commonly used calculation metrics include ratio, difference, sum and average, etc., but for commodity review data, they cannot be represented by common numerical metrics, and new and applicable calculation methods need to be studied and selected

Method used

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  • Measurement calculation method supporting commodity comment data multidimensional analysis
  • Measurement calculation method supporting commodity comment data multidimensional analysis
  • Measurement calculation method supporting commodity comment data multidimensional analysis

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Embodiment Construction

[0055] Below in conjunction with accompanying drawing, invention is described in further detail.

[0056] The present invention supports a metric calculation method for multidimensional analysis of commodity review data, comprising the following steps:

[0057] Step (1) use W={w 1 ,w 2 ,.,w n} represents the introduction of the encyclopedia, where w k (1≤k≤n, n is a natural number) is a sentence, W is an encyclopedia introduction;

[0058] Step (2) Obtain the general commodity review set related to the encyclopedia introduction in step (1) according to different dimension values, use Co={d 1 , d 2 ,...,d |c|}, where |c| is the total number of documents in Co, d i (1≤i≤|c|) is the document, d i ={s i1 ,s i2 ,...,s ij ,...,s i|di|},s ij is the jth sentence in the i-th document;

[0059] Step (3) Use LDA to calculate the vocabulary-topic probabilities in the encyclopedia introduction and general product review sets, and then calculate w in the encyclopedia introduct...

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Abstract

The invention particularly discloses a measurement calculation method supporting commodity comment data multidimensional analysis. According to the measurement calculation method, a concept of encyclopedia instruction is brought in, a relationship between commodity comments and a theme is excavated through LDA (Linear Discriminant Analysis), comments of general commodities are structuralized and integrated into the encyclopedia instruction, an a measurement result is returned in a form of a theme and an abstract to enable the measurement to have relatively high readability. The measurement calculation method supporting commodity comment data multidimensional analysis obtains a commodity comment collection and integrates the commodity comment collection with relevant encyclopedia instruction based on different dimensional values, and mainly comprises the following steps of: (1) calculating probability of vocabulary-theme in the encyclopedia instruction and the commodity comment collection by using the LDA, and finding similar comments and supplementary comments from the commodity comment collection by utilizing a similarity calculation formula; (2) for the similar comments, excavating the theme of an aspect in the encyclopedia instruction and using the similarity number to represent the concern extent of the theme; and (3) for the supplementary comments, generating an abstract to serve as supplementation of the encyclopedia instruction.

Description

technical field [0001] The invention relates to a measurement calculation method supporting multi-dimensional analysis of commodity review data. Background technique [0002] With the development of e-commerce applications, more and more e-commerce users publish their comments on products on blogs, product forums and other network media, so that people can easily obtain various information from amateurs to industry experts. Reviews on products and use them to guide your consumption. Data analysis of product reviews has important application value. It can monitor product dynamics and understand user consumption characteristics and habits, so as to improve product quality, formulate corresponding marketing strategies, guide rational consumer behavior, and predict development trends. [0003] As an effective data analysis technology, OLAP can realize interactive analysis of multi-dimensional cube data at different granularities. The basis of OLAP analysis is a multi-dimension...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 郑永清王新军张超彭朝晖闫中敏
Owner DAREWAY SOFTWARE
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