Interactive attention emotion analysis method based on dependency syntax

Abstract

The invention discloses an interactive attention emotion analysis method based on dependency syntax. According to the method, the overall mutual influence of a target set and an original sentence is considered by carrying out dependency syntactic analysis on the sentence and designing interaction attention; The problems that the given target contains limited information, the relation between the target and the context cannot be fully established based on a simple splicing mode, and the emotion polarity of the text comments cannot be accurately analyzed are solved. According to the invention, the interaction attention based on the dependency syntax is designed; the fine-grained emotion analysis accuracy can be further improved; The emotional tendency of the commodity comments in the e-commerce industry is accurately mined, more detailed and directional commodity evaluation information is provided for the user before the user purchases the commodity, and the merchant can more fully understand the comment tendency of the consumer to a certain commodity, so that the service quality is improved, and the method has very high practical value and practical significance.

Description

technical field [0001] The invention relates to a method for fine-grained analysis of product comment sentiment in the e-commerce industry, and belongs to the field of natural language processing. Background technique [0002] With the development of e-commerce platforms such as Taobao and Amazon, online shopping has become more and more popular, so online commentary text data is also increasing day by day. For these massive unstructured online comment texts from the e-commerce industry, it is urgent to use natural language processing technology to judge and classify the emotional tendency expressed in the text. On the one hand, consumers need to quickly understand the emotional tendency of product reviews before purchasing, and provide purchase decision support for themselves based on the experience information of other consumers; Improvements are made. Therefore, how to perform fine-grained sentiment classification on e-commerce review texts has become an important resea...

AI Technical Summary

Problems solved by technology

[0007] The present invention proposes a fine-grained sentiment analysis method based on dependency syntax and interactive attention, which considers the overall interaction between the target set and the original sentence by performing dependency syntax analysis on sentences and designing interactive attention to solve the given target The amount of information contained is limited and the simple method based on splicing cannot fully establish the relationship between the target and the context, and it is not enough to accurately analyze the emotional polarity of text comments

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