Multilingual Text Classification
Multilingual Text Classification is a natural language processing task that involves categorizing text documents into predefined classes or categories using models trained on or capable of generalizing across multiple languages.
213
Publications
8.9K
Citations
683
Authors
304
Institutions
Publications per year
2017–2026
120
213
Co-training for cross-lingual sentiment classification
Xiaojun Wan · 2009 · 502 citations · Full text
Using SentiWordNet for multilingual sentiment analysis
Kerstin Denecke · 2008 · 365 citations
1–5 of 213
683
6
h-index
4
h-index
Ollscoil na Gaillimhe – University of Galway, Ireland
4 publications · 223 citations
4
h-index
4
h-index
3
h-index
1–5 of 683
304

Peking University
Beijing, China
5 h-index
6 publications
639 citations

Sorbonne Université
Paris, France
4 h-index
6 publications
381 citations

Ollscoil na Gaillimhe – University of Galway
Galway, Ireland
3 h-index
6 publications
474 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
6 publications
393 citations

Montclair State University
Montclair, United States
3 h-index
3 publications
80 citations
National Academies of Sciences, Engineering, and Medicine
Washington, United States
3 h-index
6 publications
660 citations
Joint Research Centre
Ispra, Italy
3 h-index
7 publications
551 citations

Instituto Politécnico Nacional
Mexico City, Mexico
3 h-index
4 publications
180 citations
1–8 of 304
Repository · 9 publications · 284 citations
9
h-index
Conference · 6 publications · 318 citations
6
h-index
3 publications · 156 citations
3
h-index
3 publications · 173 citations
3
h-index
2 publications · 30 citations
2
h-index
1–5