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Product evaluation analysis method and device, computer equipment and storage medium

An analysis method and product technology, applied in the field of data analysis, can solve problems such as low analysis accuracy

Active Publication Date: 2019-05-24
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] An embodiment of the present invention provides an analysis method, device, computer equipment, and storage medium for product evaluation, so as to solve the problem of low accuracy in the current analysis of application software reviews

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  • Product evaluation analysis method and device, computer equipment and storage medium
  • Product evaluation analysis method and device, computer equipment and storage medium
  • Product evaluation analysis method and device, computer equipment and storage medium

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Embodiment Construction

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0033] The analysis method of product evaluation provided by the embodiment of the present application can be applied in such as figure 1 In the application environment, the application environment includes a server and a client, where the server and the client are connected through the network, the user inputs the evaluation of the application product through the client, and the server obtains the user's evaluation as the analysis data , and use the p...

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Abstract

The invention discloses a product evaluation analysis method. The invention discloses a device, computer equipment and a storage medium. The method comprises the following steps of: obtaining to-be-analyzed data of the application product, performing word segmentation processing on the to-be-analyzed data; obtaining target segmented words, constructing a target word vector of the target segmentedword; and performing part-of-speech tagging on the target segmented word, obtaining the part-of-speech of the target word vector; constructing a sub-statement vector and a statement vector by using the target word vector; in a cluster corresponding to each part-of-speech in a preset semantic analysis model; calculating the weight coefficient of each target word vector, calculating the score of each sub-statement vector and the scoring result of the statement vector according to the weight coefficient of the target word vector, and querying the user preference degree corresponding to the scoring result from the score mapping table, thereby determining the preference degree of the user on the application product. According to the embodiment of the invention, the recognition degree of the comments of the user to the application product can be quickly and accurately obtained, and the analysis accuracy of the comments of the application product is improved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to an analysis method, device, computer equipment and storage medium for product evaluation. Background technique [0002] In the application market of various application software, users will evaluate the application software after downloading and using it. The content of user evaluation can reflect the advantages and disadvantages of the application software, which is a direct way to obtain user feedback. The design advantages of the application software and the shortcomings that need to be improved are obtained from the user's comments. At present, the sentiment classification model is usually used to analyze the user's comment content, but the accuracy of the sentiment classification model is not high, and the sentiment analysis model can only judge whether the user has a positive or negative attitude towards the application software, and cannot be specific. It shows how ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/35G06F17/27
Inventor 胡芹
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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