Frequency-Based Text Classification is a text classification method that utilizes the statistical frequency of linguistic features—such as words, n-grams, or character patterns—to distinguish and categorize textual instances based on their distributional profiles.
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Publications per year
2017–2026
46
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Publications
139
The American Heritage Word Frequency Book
Robert E. Warren, J. B. Carroll, Paul S. Davies et al. · The American Journal of Psychology · 1973 · 1.4K citations
Text genre detection using common word frequencies
Efstathios Stamatatos, Nikos Fakotakis, G. Kokkinakis · 2000 · 166 citations · Full text
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- YZ
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Institutions
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Xi'an University of Technology
Xi'an, China
3 h-index
10 publications
197 citations
Universitas Sumatera Utara
Medan, Indonesia
3 h-index
11 publications
313 citations
Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
288 citations
Universitas Amikom Yogyakarta
Yogyakarta, Indonesia
2 h-index
8 publications
208 citations
Indiana University Bloomington
Bloomington, United States
2 h-index
4 publications
67 citations
Telkom University
Bandung, Indonesia
2 h-index
6 publications
111 citations
Ministry of Education of the People's Republic of China
Beijing, China
2 h-index
6 publications
368 citations
Northern University of Malaysia
Jitra, Malaysia
2 h-index
10 publications
1.7K citations
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Venues
- International Journal of Computer Applications
4 publications · 887 citations
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- PLoS ONE
1 publications · 14 citations
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- Journal of Zhejiang University SCIENCE A
2 publications · 107 citations
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- Behavior Research Methods, Instruments, & Computers
2 publications · 103 citations
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- Multimedia Tools and Applications
2 publications · 94 citations
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