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Automatic cyberbullying detectioneme...

Masui, Fumito, (1966-)

Automatic cyberbullying detectionemerging research and opportunities /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Automatic cyberbullying detectionby Michal E. Ptaszynski and Fumito Masui.
Reminder of title:	emerging research and opportunities /
Author:	Ptaszynski, Michal E.,
other author:	Masui, Fumito,
Published:	Hershey, Pennsylvania :IGI Global,[2018]
Description:	1 online resource (xiv, 180 p.)
Subject:	CyberbullyingResearch
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9
ISBN:	9781522552505 (e-book)

Automatic cyberbullying detectionemerging research and opportunities /
Ptaszynski, Michal E.,1981-

Automatic cyberbullying detectionemerging research and opportunities /[electronic resource] :by Michal E. Ptaszynski and Fumito Masui. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xiv, 180 p.)

Includes bibliographical references and index.

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.

Restricted to subscribers or individual electronic text purchasers.

"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"--Provided by publisher.

ISBN: 9781522552505 (e-book)Subjects--Topical Terms:

843478
Cyberbullying
--Research

LC Class. No.: HV6773.15.C92 / P83 2018e

Dewey Class. No.: 302.34/30285

Automatic cyberbullying detectionemerging research and opportunities /
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245 1 0 $a Automatic cyberbullying detection $h [electronic resource] : $b emerging research and opportunities / $c by Michal E. Ptaszynski and Fumito Masui.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xiv, 180 p.)
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.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $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"--Provided by publisher.
650 0 $a Cyberbullying $x Research $x Methodology. $3 843478
650 0 $a Data mining. $3 184440
700 1 $a Masui, Fumito, $d 1966- $e author. $3 843477
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9