Data processing method and device, readable storage medium and electronic equipment

Abstract

The embodiment of the invention discloses a data processing method and device, a readable storage medium and electronic equipment. The method comprises the steps of obtaining to-be-processed text information; performing word segmentation on the to-be-processed text information, determining at least one sentiment word included in the to-be-processed text information, determining a modification attribute corresponding to the sentiment word, and determining a first sentiment value of the sentiment word according to the sentiment word and the modification attribute corresponding to the sentiment word; determining a second emotion value of the to-be-processed text information according to the first emotion value; and determining the emotional polarity of the to-be-processed text information according to the second emotional value. Through the method, the to-be-processed text is subjected to word segmentation, the granularity of the to-be-processed text information can be refined, the modification attribute of the sentiment word is determined, and the sentiment value of the to-be-processed text information is determined through the sentiment word and the modification attribute, so that sentiment analysis can be performed on the to-be-processed text information more accurately; and the emotional polarity of the to-be-processed text information is determined.

Description

technical field [0001] The present invention relates to the field of data processing, in particular to a data processing method, device, readable storage medium and electronic equipment. Background technique [0002] With the development of Internet applications, online teaching has changed the traditional teaching methods and is used more and more widely in people's daily life. The online teaching platform will be used by a large number of users at the same time. The users can be students or parents. The number is large. When users have questions about courses or teachers, they will feed back to the customer service system of the online teaching platform. The customer service system has accumulated a large amount of text data. According to the above text data, various problems, suggestions and experience feedback encountered by users can be mined. Furthermore, user sentiment analysis can be performed to optimize courses or services and improve user experience. [0003] In ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the sentiment analysis of text data is carried out based on statistical machine learning algorithms or deep learning methods, but the above two methods cannot control the emotional reversal caused by negative words and the emotional enhancement or weakening caused by adverbs of degree. , affecting the accuracy of sentiment analysis

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