Text Cleaning is a methodological process within text preprocessing that systematically removes or corrects noise, inconsistencies, and irrelevant components from textual data to enhance its quality and suitability for downstream natural language processing tasks.
84
Publications
4.8K
Citations
239
Authors
110
Institutions
Publications per year
2017–2026
36
Publications
84
The geography of Twitter topics in London
Guy Lansley, Paul Longley · Computers Environment and Urban Systems · 2016 · 208 citations · Full text
An unsupervised model for text message normalization
Paul Cook, Suzanne Stevenson · 2009 · 132 citations · Full text
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239
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1–5 of 239
Institutions
110
IBM Research - India
New Delhi, India
5 h-index
13 publications
1K citations
Tilburg University
Tilburg, The Netherlands
4 h-index
4 publications
81 citations
IBM (United States)
Armonk, United States
4 h-index
10 publications
692 citations
Université Libre de Bruxelles
Brussels, Belgium
2 h-index
2 publications
44 citations
New York University
New York, United States
2 h-index
2 publications
489 citations
Instituto Politécnico Nacional
Mexico City, Mexico
2 h-index
3 publications
57 citations
Indian Statistical Institute
Kolkata, India
2 h-index
5 publications
141 citations
IBM Research - Almaden
San Jose, United States
2 h-index
5 publications
111 citations
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Venues
- International Journal on Document Analysis and Recognition (IJDAR)
4 publications · 153 citations
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- IEEE Access
2 publications · 46 citations
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- Procedia Computer Science
2 publications · 74 citations
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- Heliyon
1 publications · 80 citations
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- Nature
1 publications · 29 citations
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