Construction method and device of fine-grained emotion analysis model and readable storage medium

A technology for sentiment analysis and construction methods, applied in the computer field, can solve the problems of weak generalization ability, poor scalability, and inability to solve the long-distance dependence of evaluation words and evaluation objects, so as to improve generalization ability, accuracy rate, The effect of good scalability

Active Publication Date: 2018-10-12
WEBANK (CHINA)
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Problems solved by technology

[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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  • Construction method and device of fine-grained emotion analysis model and readable storage medium
  • Construction method and device of fine-grained emotion analysis model and readable storage medium
  • Construction method and device of fine-grained emotion analysis model and readable storage medium

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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] like 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] like 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 communication bus ...

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Abstract

The invention discloses a construction method and device of a fine-grained emotion analysis model and a readable storage medium. According to the method, class sequence rules are utilized to extract attribute words and emotion words in a process of fine-grained sentiment analysis, thus accuracy of attribute word and emotion word extraction is improved, the mined class sequence rules are enabled tochange with changes of text which is of the applied field and to be used for training, generalization ability of the constructed fine-grained emotion analysis model is improved, and the constructed fine-grained emotion analysis model is enabled to have good scalability; and the problem of long-distance dependence between emotion words and attribute words is solved through the class sequence rules, that is, the problem of long-distance dependence between evaluation objects and evaluation words is solved, emotion context information related to the attribute words is extracted through a neural network of an attention mechanism, and fine-grained emotion analysis is realized.

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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06N3/04
CPCG06F40/205G06F40/289G06N3/045
Inventor 刘志煌
Owner WEBANK (CHINA)
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