A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter

Naseem, Usman, Razzak, Imran and Eklund, Peter W. 2020, A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter, Multimedia tools and applications, pp. 1-28, doi: 10.1007/s11042-020-10082-6.

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Title A survey of pre-processing techniques to improve short-text quality: a case study on hate speech detection on twitter
Author(s) Naseem, Usman
Razzak, ImranORCID iD for Razzak, Imran orcid.org/0000-0002-3930-6600
Eklund, Peter W.ORCID iD for Eklund, Peter W. orcid.org/0000-0003-2313-8603
Journal name Multimedia tools and applications
Start page 1
End page 28
Total pages 28
Publisher Springer
Place of publication New York, N.Y.
Publication date 2020
ISSN 1380-7501
1573-7721
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Software Engineering
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Natural language processing
Text pre-processing
Tweet classification
Machine learning
EVENT DETECTION
FRAMEWORK
Notes Article in Press
Language eng
DOI 10.1007/s11042-020-10082-6
Indigenous content off
Field of Research 0803 Computer Software
0805 Distributed Computing
0806 Information Systems
0801 Artificial Intelligence and Image Processing
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145242

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Created: Thu, 12 Nov 2020, 11:47:57 EST

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