User semantic sentiment analysis-based response method and device

Abstract

The invention discloses a user semantic sentiment analysis-based response method. A specific implementation manner of the method comprises the following steps: acquiring text information of input information of a user; carrying out word segmentation on the text information on the basis of a pre-determined word segmentation method, extracting at least one keyword, modifying a plurality of sentiment feature words of each keyword and modifying an adverb of each sentiment feature word; analyzing a sentiment tendency metric of each sentiment feature word according to a pre-established commendatory term dictionary, a pre-established derogatory term dictionary and a negative adverb dictionary, and analyzing semantic sentiment classification of the text information according to the sentiment tendency metric of each sentiment feature word; selecting a sentence from a pre-stored sentence set according to the semantic sentiment classification of the text information and the at least one keyword to respond the input information. According to the method, the questions of the users are answered in the aspect of logic, the sentiments of the users are considered at the same time, and the satisfaction of the users is improved.

Description

technical field [0001] The present application relates to the field of computer technology, specifically to the field of Internet technology, and in particular to a response method and device based on user semantic sentiment analysis. Background technique [0002] In order to reduce the operating costs of Internet e-commerce, it has become an inevitable trend to replace manual customer service with artificial intelligence customer service systems. The artificial intelligence customer service system is a human-computer interaction system developed on the basis of large-scale knowledge processing, natural language understanding, knowledge management, automatic response, reasoning and other technologies. [0003] At present, intelligent customer service generally adopts various methods to extract keywords of user input information, and then analyzes the user's intention and answers according to the keywords. [0004] The above method of analyzing the user's intention and answe...

AI Technical Summary

Problems solved by technology

However, the words that reflect the user's emotion in the user's input information are ignored

To a certain extent, the artificial intelligence customer service system is too blunt when answering user questions. Although it logically answers the user's question, it ignores the user's emotion, resulting in low user satisfaction.

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