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Power grid service conversation data emotion detection method based on graph neural network

A neural network and detection method technology, which is applied in the field of grid business dialogue data emotion detection based on graph neural network, can solve problems such as undiscovered, and achieve the effect of improving accuracy

Pending Publication Date: 2021-11-16
STATE GRID TIANJIN ELECTRIC POWER +1
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Problems solved by technology

[0006] After searching, no publications of the prior art identical or similar to the present invention were found

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  • Power grid service conversation data emotion detection method based on graph neural network
  • Power grid service conversation data emotion detection method based on graph neural network
  • Power grid service conversation data emotion detection method based on graph neural network

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Embodiment Construction

[0048] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0049] A graph neural network-based emotion detection method for power grid business dialogue data, such as Figure 1 to Figure 3 shown, including the following steps:

[0050] Step 1. Extract the dialogue set, construct the sentence-level self-influence and mutual influence relationship diagram and feature extraction model;

[0051] The concrete steps of described step 1 include:

[0052] (1) Represent a single statement as a node, construct a graph G(S, E), S is the set of all statements, E represents the set of edge relationships between all statements, and the edge between a pair of nodes / statements represents the relationship between these statements The influence relationship between speakers, and their relative positions in the conversation; e.g. figure 2 Shown are self-dependence and interdependence graphs between statements of differen...

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Abstract

The invention relates to a power grid service conversation data emotion detection method based on a graph neural network. The method comprises the following steps: 1, extracting a conversation set, and constructing a statement-level self-influence and mutual influence relation graph and a feature extraction model; 2, constructing a word-level undirected graph and a feature extraction model; step 3, constructing a relation undirected graph and a feature extraction model between the topic vocabularies and the context words; and step 4, fusing the statement-level features, the word graph features and the relation features between the subject vocabularies and the context words in the step 1, the step 2 and the step 3, and calculating conversation emotion. According to the method, the accuracy of interactive sentiment analysis can be greatly improved, so that an important technical support is provided for constructing human-like interaction systems such as a question answering system, a chat robot and a public service robot.

Description

technical field [0001] The invention belongs to the technical field of natural language processing, and relates to a dialog data emotion detection method, in particular to a graph neural network-based grid business dialog data emotion detection method. Background technique [0002] In the interactive chat information between the customer service and the customer, intelligently and automatically detect the emotional state of the customer service during the call and whether the terms used in the service process are standardized, and provide timely, objective and effective analysis for the quality inspection of the customer service, which can be effective Improve the work efficiency and effect of customer service quality inspection, and provide users with more satisfactory services. [0003] Compared with interactive sentiment analysis methods, traditional non-interactive sentiment analysis is mostly carried out based on natural language processing, such as rule-based and machi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/332G06F16/35G06F40/211G06F40/30G06Q30/00
CPCG06F16/3329G06F16/355G06F40/30G06F40/211G06Q30/01
Inventor 李妍孟洁何金赵迪张倩宜张旭孙轶凡吴凯包磊
Owner STATE GRID TIANJIN ELECTRIC POWER
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