Artificial Bee Colony–Based Feature Selection Algorithm for Cyberbullying. (23rd June 2020)
- Record Type:
- Journal Article
- Title:
- Artificial Bee Colony–Based Feature Selection Algorithm for Cyberbullying. (23rd June 2020)
- Main Title:
- Artificial Bee Colony–Based Feature Selection Algorithm for Cyberbullying
- Authors:
- Sarac Essiz, Esra
Oturakci, Murat - Abstract:
- Abstract: As a nature-inspired algorithm, artificial bee colony (ABC) is an optimization algorithm that is inspired by the search behaviour of honey bees. The main aim of this study is to examine the effects of the ABC-based feature selection algorithm on classification performance for cyberbullying, which has become a significant worldwide social issue in recent years. With this purpose, the classification performance of the proposed ABC-based feature selection method is compared with three different traditional methods such as information gain, ReliefF and chi square. Experimental results present that ABC-based feature selection method outperforms than three traditional methods for the detection of cyberbullying. The Macro averaged F_measure of the data set is increased from 0.659 to 0.8 using proposed ABC-based feature selection method.
- Is Part Of:
- Computer journal. Volume 64:Number 3(2021)
- Journal:
- Computer journal
- Issue:
- Volume 64:Number 3(2021)
- Issue Display:
- Volume 64, Issue 3 (2021)
- Year:
- 2021
- Volume:
- 64
- Issue:
- 3
- Issue Sort Value:
- 2021-0064-0003-0000
- Page Start:
- 305
- Page End:
- 313
- Publication Date:
- 2020-06-23
- Subjects:
- cyberbullying -- artificial bee colony -- feature selection -- classification
Computers -- Periodicals
005.1 - Journal URLs:
- http://comjnl.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/comjnl/bxaa066 ↗
- Languages:
- English
- ISSNs:
- 0010-4620
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.060000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16316.xml