Portrayal generation method and system based on guide network text classification and medium

Abstract

The invention discloses a portrait generation method and system based on guide network text classification and a medium, and can be widely applied to the technical field of computers. According to the method, the features extracted by the feature extractor and the text label are input into the guide network together, so that the semantic association relationship between the student text and the text label is obtained through the guide network, and the parameters of the feature extractor can be adjusted according to the semantic association relationship; after the parameters of the feature extractor meet a first preset requirement, the parameters of a sorting classifier are adjusted according to the current text features and the text labels of the feature extractor; and after the parameters of the sorting classifier meet a second preset requirement, the target label of the current student text is obtained through the feature extractor meeting the first preset requirement and the sorting classifier meeting the second preset requirement, so that a more accurate student portrait can be obtained according to the target label.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a portrait generation method, system and medium based on wizard network text classification. Background technique [0002] With the rise of artificial intelligence, classification technology is widely used in various downstream applications, such as advertising recommendation, user profiling or web search. In daily teaching and education, the accurate construction of student portraits is extremely important, because student portraits can reflect each student's own personality characteristics, strengths and weaknesses, so as to help teachers understand students and then formulate more specific plans for each student. Good education and teaching methods can achieve the effect of teaching students in accordance with their aptitude. However, accurate construction of student portraits requires accurate and robust methods. The current methods cannot obtain accurate student portraits...

AI Technical Summary

Problems solved by technology

However, accurate construction of student portraits requires accurate and robust methods. The current existing methods cannot obtain accurate student portraits due to insufficient consideration of the problem and insufficient accuracy and robustness.

Images