Open AccessResearch on the Text Similarity Algorithms in Automatic Scoring of Subjective Questions
Author(s) -
Jiahui Peng
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1952/4/042039
Subject(s) - word2vec , computer science , similarity (geometry) , scope (computer science) , field (mathematics) , theme (computing) , key (lock) , artificial intelligence , process (computing) , information retrieval , machine learning , data mining , data science , natural language processing , mathematics , world wide web , computer security , embedding , pure mathematics , image (mathematics) , programming language , operating system
The theme revolves around the automatic scoring of subjective questions. The key technologies involved in the whole automatic scoring process are discussed in this paper, analyzes the advantages, disadvantages and application scope of different calculation methods for text similarity to understand the development trend of this field. It is helpful for further research on the automatic scoring method of subjective questions based on Word2vec improved model.