Online comment automatic reply method based on deep semantic matching

A technology of semantic matching and automatic reply, applied in semantic analysis, natural language data processing, instruments, etc., can solve problems such as information asymmetry and asynchronous progress

Active Publication Date: 2020-10-20
WUHAN UNIV
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Problems solved by technology

In the process of online shopping transactions, there is information asymmetry between consumers and merchants and the transaction process is not synchron

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  • Online comment automatic reply method based on deep semantic matching
  • Online comment automatic reply method based on deep semantic matching
  • Online comment automatic reply method based on deep semantic matching

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Embodiment Construction

[0020] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0021] The present invention is mainly based on a deep neural network, and considers topics that users care about in online comments, and proposes an online comment automatic reply method based on deep semantic matching. Combining multi-dimensional sentiment analysis of different topics and sentence vector cosine similarity for text matching can more effectively and accurately match online comments with similar semantics in the database for automatic reply. The method of the present invention can realize flow process with computer software technology,

[002...

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Abstract

The invention discloses an online comment automatic reply method based on deep semantic matching, which is used for finding out online comments closest to input comment semantics in a database by combining sentence vector cosine similarity and multi-dimensional emotion matching degree. The method specifically comprises the steps that feature words of different topics are obtained through Canopy +Kmeans clustering, and on this basis, topic feature word expansion is conducted through a topic model CorEx based on priori knowledge. Meanwhile, a BERT-BiLSTM emotion analysis model is constructed, and multi-dimensional emotion analysis is carried out on online comments according to theme feature words obtained through clustering and by means of dependency syntactic analysis. Online comments arematched with the most similar semantics in the database by combining sentence vector cosine similarity and a multi-dimensional sentiment analysis result, data enhancement EDA operation is performed onmerchant replies of the comments, and sentences with the highest sentence vector cosine similarity are selected as automatic reply contents. According to the invention, automatic reply online comments can be provided for merchants conveniently, efficiently and accurately.

Description

technical field [0001] The invention belongs to the technical field of computer software and relates to an automatic reply method for online comments based on deep semantic matching, which can effectively improve the management reputation and user experience of merchants in e-commerce platforms. Background technique [0002] With the popularization of the Internet and the vigorous promotion of e-commerce, more and more consumers choose to shop online, which also attracts more merchants to start selling goods online. In the online shopping transaction process, consumers and merchants have information asymmetry and the transaction process is not synchronized. Compared with offline shopping, this online shopping process will make consumers feel higher risks, such as product quality, delivery security etc. Therefore, consumers tend to collect more detailed information about merchants and commodities in various ways. Among them, online reviews of commodities and replies from me...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F40/30G06F40/211G06F16/33G06N3/04
CPCG06F40/211G06F40/30G06F16/3344G06N3/049G06N3/044G06F18/23213G06F18/214
Inventor 李齐齐赵杨
Owner WUHAN UNIV
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