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- 000 02138cam a2200397 i 4500
- 008 171127t20192019paua b 001 0 eng
- 020 __ |a 9781522552499 |q hardback
- 020 __ |z 9781522552505 |q ebook
- 040 __ |a DLC |b eng |c DLC |e rda |d DLC
- 050 00 |a HV6773.15.C92 |b P83 2019
- 082 00 |a 302.34/30285 |2 23
- 099 __ |a CAL 022019063194
- 100 1_ |a Ptaszynski, Michal E., |d 1981- |e author.
- 245 10 |a Automatic cyberbullying detection : |b emerging research and opportunities / |c Michal E. Ptaszynski, Fumito Masui.
- 264 _1 |a Hershey : |b Information Science Reference, an imprint of IGI Global, |c [2019]
- 300 __ |a xiv, 180 pages : |b illustrations ; |c 26 cm.
- 336 __ |a text |b txt |2 rdacontent
- 337 __ |a unmediated |b n |2 rdamedia
- 338 __ |a volume |b nc |2 rdacarrier
- 490 0_ |a Research insights
- 504 __ |a Includes bibliographical references and index.
- 505 0_ |a 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.
- 520 __ |a "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"-- |c Provided by publisher.
- 650 _0 |a Cyberbullying |x Research |x Methodology.
- 700 1_ |a Masui, Fumito, |d 1966- |e author.
- 921 __ |a CASHL |b CEPIEC |c 9781522552499
- 950 __ |a SCNU |f TP11/P975