The Application of Unsupervised Learning TF-IDF Algorithm in Word Segmentation of Ideological and Political Education
Author(s) -
Silian Chen,
Lina Wu,
Jiexian Zhuo
Publication year - 2022
Publication title -
wireless communications and mobile computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.42
H-Index - 64
eISSN - 1530-8677
pISSN - 1530-8669
DOI - 10.1155/2022/5219117
Subject(s) - computer science , text segmentation , word (group theory) , natural language processing , artificial intelligence , segmentation , word lists by frequency , viterbi algorithm , vocabulary , keyword extraction , field (mathematics) , speech recognition , speech segmentation , tf–idf , hidden markov model , linguistics , term (time) , philosophy , mathematics , pure mathematics , sentence , physics , quantum mechanics
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