Data processing method, device, equipment and storage medium based on sentiment analysis

By applying hybrid neural networks in the financial field to analyze and process the comment text data, the problems of low efficiency and poor accuracy of emotional data analysis in the financial field in the existing technology are solved, and the automated analysis and efficiency of emotional data are achieved.

CN114386433BActive Publication Date: 2025-03-18AGRICULTURAL BANK OF CHINA
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Patent Information

Application Number
CN202210030752.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-12
Publication Date
2025-03-18
Estimated Expiration
2042-01-12

AI Technical Summary

Technical Problem

The prior art emotional data analysis and processing in the financial field is inefficient and have poor accuracy, and lacks automated analysis and processing methods.

Method used

By obtaining comment text data in the financial field and inputting it into a hybrid neural network for analysis and processing, sentiment analysis results are generated, and financial market trend data are generated based on these results.

Benefits of technology

It realizes automated analysis and processing of emotional data in the financial field, improves the accuracy and efficiency of analysis and processing, and thus improves the guiding and application of emotional data.

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Abstract

The embodiment of the present invention discloses a data processing method, device, equipment and storage medium based on sentiment analysis, the method comprising: obtaining financial field review text data of a target date; inputting the financial field review text data into a hybrid neural network to obtain sentiment analysis results of the financial field review text data of the target date; generating financial market trend data of a target associated date according to the sentiment analysis results of the financial field review text data of the target date. The technical solution of the embodiment of the present invention can realize the automatic analysis and processing of financial field sentiment data, improve the accuracy and efficiency of the analysis and processing of financial field sentiment data, and thus improve the guidance and applicability of financial field sentiment data.
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