MARC状态：审校 文献类型：西文图书 浏览次数：95
- 题名/责任者:
- Automatic cyberbullying detection : emerging research and opportunities / Michal E. Ptaszynski, Fumito Masui.
- 出版发行项:
- Hershey : Information Science Reference, an imprint of IGI Global, [2019]
- 出版发行项:
- ?2019
- ISBN:
- 9781522552499
- 载体形态项:
- xiv, 180 pages : illustrations ; 26 cm.
- 丛编说明:
- Research insights
- 个人责任者:
- Ptaszynski, Michal E., 1981- author.
- 附加个人名称:
- Masui, Fumito, 1966- author.
- 论题主题:
- Cyberbullying-Research-Methodology.
- 论题主题:
- Data mining.
- 中图法分类号:
- TP11
- 书目附注:
- Includes bibliographical references and index.
- 内容附注:
- Chapter 1. Introduction -- Chapter 2. Background -- Chapter 3. Description and initial analysis of cyberbullying dataset -- Chapter 4. Web mining-based method for cyberbullying detection -- Chapter 5. Brute force search method for cyberbullying detection -- Chapter 6. Traditional classifiers vs. deep learning for cyberbullying detection -- Chapter 7. Cyberbullying blocker test application for android devices -- Chapter 8. Conclusion and future directions.
- 摘要附注:
- "This book describes the problem of cyberbullying, and previous research done in the topic of cyberbullying detection and the datasets used in cyberbullying detection research. It develops a method for detection and ranking of cyberbullying entries according to their harmfulness, based on an extended SO-PMI-IR method and automatic acquisition and filtering of seed words"--
全部MARC细节信息>>
12楼南外文图书阅览室