Improved lexicon-based sentiment analysis for social media analytics
- Submitting institution
-
University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 76629301
- Type
- D - Journal article
- DOI
-
10.1186/s13388-015-0024-x
- Title of journal
- Security Informatics
- Article number
- -
- First page
- 1
- Volume
- 4
- Issue
- 9
- ISSN
- 2190-8532
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- 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
-
2
- Research group(s)
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B - Artificial Intelligence Research Centre
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <17> This work was developed under a KTP project with Skurio Ltd. (https://skurio.com). The algorithm developed has been integrated into the company’s product “Cyber Threat Intelligence”. The results were reported at the National Policing Data Communication Group Event in London on 18th March 2014, it won the best poster prize in the Associate networking event for all KTP Associates and their Supervisors in Northern Ireland on 24th June 2014. This work was rated the highest grade of completion by KTP (Certificate No. KTP009125) and helped the first author become a researcher and now a REF2021 returned academic in QUB.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -