Fine-grained sentiment analysis method and system, computer equipment and storage medium

A sentiment analysis, fine-grained technology, applied in computer parts, computing, character and pattern recognition, etc., can solve the problem of low accuracy of sentiment classification, achieve the purpose and advantages of concise and easy-to-understand, and enhance the recognition ability.

Pending Publication Date: 2022-02-15
BEIJING MININGLAMP SOFTWARE SYST CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The embodiment of the present application provides a fine-grained sentiment analysis method, system, computer equipment and storage medium, by using sentence-level

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  • Fine-grained sentiment analysis method and system, computer equipment and storage medium
  • Fine-grained sentiment analysis method and system, computer equipment and storage medium
  • Fine-grained sentiment analysis method and system, computer equipment and storage medium

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Embodiment Construction

[0052] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0053]Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios. In addition, it can also be understood that although such development efforts may be complex and lengthy, for those of o...

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Abstract

The invention relates to a fine-grained sentiment analysis method and system, computer equipment and a storage medium, and the fine-grained sentiment analysis method comprises the following steps: a vector acquisition step: inputting input text data into a shared network structure layer, in the shared network structure layer, acquiring a word vector, a word vector and a position vector according to the text data, obtaining a vector representation of the text data, and obtaining a feature extraction vector and an emotion vector according to the vector representation; an emotion probability vector acquisition step: inputting the feature extraction vector and the emotion vector into a non-shared network structure layer, and outputting an emotion probability vector of a corresponding aspect; and an emotion label obtaining step of obtaining a final emotion label according to the emotion probability vector. According to semantic information obtained by a Bert model based on a self-attention mechanism and text features of sentence levels obtained by performing feature extraction on a whole text sequence, the recognition capability of a network structure on an aspect emotion direction is enhanced.

Description

technical field [0001] The present application relates to the technical field of text sentiment analysis in natural language processing, in particular to fine-grained sentiment analysis methods, systems, computer equipment and storage media. Background technique [0002] At present, text comments on the Internet (including social comments, news comments, commodity reviews, etc.) have academic and commercial value, and sentiment analysis can be performed on comments or comments to identify the corresponding user's opinion, sentiment, and attitude towards an event or product. For example, social platforms and news portals can use the information after sentiment analysis to provide targeted marketing and push to users; e-commerce platforms can use sentiment analysis technology to analyze the attributes of various aspects of products to obtain the evaluation of consumers. It not only saves the browsing time of other consumers, but also displays refined labels for product evaluat...

Claims

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Application Information

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IPC IPC(8): G06F16/33G06F16/953G06K9/62
CPCG06F16/3344G06F16/3346G06F16/953G06F18/2411
Inventor 刘伟硕
Owner BEIJING MININGLAMP SOFTWARE SYST CO LTD
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