
Application of Natural Language Processing Technology in Educational Resources Retrieval
Author(s) -
Yibao Huang
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 - 10.1088/1742-6596/1881/3/032020
Subject(s) - computer science , natural language processing , synonym (taxonomy) , preprocessor , artificial intelligence , coding (social sciences) , key (lock) , information retrieval , text segmentation , data pre processing , semantics (computer science) , word (group theory) , process (computing) , ontology , natural language , segmentation , linguistics , botany , philosophy , mathematics , computer security , epistemology , programming language , biology , genus , operating system , statistics
According to the data structure characteristics of educational resources, natural language processing technology is used to process the original educational resources data from the aspects of word segmentation processing, named entity recognition, part of speech tagging, synonym analysis, word vector analysis, etc. For complex image data, OCR preprocessing and coding format conversion are used to reduce the complexity of the original data; according to the difficulty requirements of the user to retrieve data, key words or ontology are selected to further expand and enrich the semantics and improve the accuracy of the retrieval results.