Fine-grained sentiment analysis model construction method, device and readable storage medium
A technology for sentiment analysis and construction methods, applied in the computer field, can solve problems such as poor scalability, inability to solve the long-distance dependence of evaluation words and evaluation objects, and weak generalization ability, so as to achieve improved accuracy, good scalability, The effect of improving generalization ability
Active Publication Date: 2022-02-15
WEBANK (CHINA)
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[0004] The main purpose of the present invention is to provide a fine-grained sentiment analysis model construction method, equipment and readable storage medium, aiming to solve the problem of poor scalability, weak generalization ability, and inability to Solve the technical problem of long-distance dependence between evaluation words and evaluation objects
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[0045] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0046] Such as figure 1 as shown, figure 1 It is a schematic structural diagram of the hardware operating environment involved in the solution of the embodiment of the present invention.
[0047] It should be noted, figure 1 A structural schematic diagram of the hardware operating environment of the device that can be used to construct the fine-grained sentiment analysis model. The device for constructing the fine-grained sentiment analysis model in the embodiment of the present invention may be a terminal device such as a PC or a portable computer.
[0048] Such as figure 1 As shown, the fine-grained sentiment analysis model construction device may include: a processor 1001 , such as a CPU, a network interface 1004 , a user interface 1003 , a memory 1005 , and a communication bus 1002 . Wherein, the communicatio...
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The invention discloses a fine-grained sentiment analysis model construction method, equipment and readable storage medium. The present invention uses class sequence rules to extract attribute words and sentiment words in the process of fine-grained sentiment analysis, so as to improve the performance of attribute words and sentiment words. The accuracy of word extraction makes the mined class sequence rules change with the changes of the text to be trained in the applied field, which improves the generalization ability of the fine-grained sentiment analysis model built, and makes the fine-grained sentiment analysis model built. The analysis model has good scalability; the problem of long-distance dependence between sentiment words and attribute words is solved through class sequence rules, that is, the problem of long-distance dependence between evaluation objects and evaluation words is solved. The neural network extracts emotional context information related to attribute words to achieve fine-grained sentiment analysis.
Description
technical field [0001] The present invention relates to the field of computer technology, in particular to a fine-grained emotion analysis model construction method, device and readable storage medium. Background technique [0002] Fine-grained sentiment analysis, also known as attribute-level sentiment analysis, belongs to a category of text sentiment analysis. This analysis is generally based on the sentiment judgment of the attribute features in the comment text. Compared with article-level or sentence-level sentiment analysis, fine-grained sentiment analysis can more specifically and clearly target the relevant attribute characteristics of products for sentiment recognition, and the obtained analysis results provide more detailed evaluation information, so it is more meaningful and value. [0003] The first step of fine-grained sentiment analysis is to extract evaluation objects. Evaluation object extraction is to obtain product attributes that consumers care about from...
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IPC IPC(8): G06F40/289G06F40/205G06N3/04
CPCG06F40/205G06F40/289G06N3/045
Inventor 刘志煌
Owner WEBANK (CHINA)