Developing resources for sentiment analysis of informal Arabic text in social media
- Submitting institution
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Sheffield Hallam University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1412
- Type
- E - Conference contribution
- DOI
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10.1016/j.procs.2017.10.101
- Title of conference / published proceedings
- Procedia Computer Science
- First page
- 129
- Volume
- 117
- Issue
- -
- ISSN
- 1877-0509
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper is based upon work conducted during Maher Itan’s doctoral studies. Within the Arabic language community, the work has been of interest: Dr Itan is now working in industry as Computing Program Manager for the SABIS global education network. The corpora developed as part of the work reported is publicly available on the Sheffield Hallam University's Research Data Archive.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -