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Analysis method, device, computer equipment and storage medium for product evaluation

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

Active Publication Date: 2022-08-02
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

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  • Analysis method, device, computer equipment and storage medium for product evaluation
  • Analysis method, device, computer equipment and storage medium for product evaluation
  • Analysis method, device, computer equipment and storage medium for product evaluation

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Embodiment Construction

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

[0033] The analytical methods for product evaluation provided in the examples of this application can be applied in applications such as figure 1 In the application environment, the application environment includes a server and a client, wherein 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 ...

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Abstract

The invention discloses an analysis method, device, computer equipment and storage medium for product evaluation. The method comprises: acquiring data to be analyzed of an application product, performing word segmentation processing on the data to be analyzed, obtaining a target word segmentation, and constructing a target of the target word segmentation The word vector, and the part-of-speech tagging of the target word segmentation, to obtain the part-of-speech of the target word vector, use the target word vector to construct the sub-sentence vector and the sentence vector, and calculate the corresponding clusters in the preset semantic analysis model for each part-of-speech. The weight coefficient of each target word vector, according to the weight coefficient of the target word vector, calculate the score of each sub-sentence vector and the score result of the sentence vector, and query the user's preference degree corresponding to the score result from the score mapping table, so as to determine the user's preference for The degree of preference for the application product. The embodiments of the present invention can quickly and accurately obtain the approval degree of the user's comments on the application product, and improve the analysis accuracy of the comments on the application product.

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 the application software. The content of the user evaluation can reflect the advantages and disadvantages of the application software and is a direct way to obtain user feedback information. User reviews capture the design strengths of the application, as well as weaknesses that need improvement. At present, the sentiment classification model is usually used to analyze the user's comment content. However, the analysis accuracy of the sentiment classification model is not high, and the sentiment analysis model can only determine whether the user has a positive or negative attitude towards the application software, and cannot be...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/36G06K9/62G06F16/35G06F40/30
Inventor 胡芹
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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