大葉大學圖書館 |

登入

回首頁

Automatic cyberbullying detection[el...

Masui, Fumito, (1966-)

Automatic cyberbullying detection[electronic resource] :emerging research and opportunities /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	302.34/30285
書名/作者:	Automatic cyberbullying detection : emerging research and opportunities // by Michal E. Ptaszynski and Fumito Masui.
作者:	Ptaszynski, Michal E.,
其他作者:	Masui, Fumito,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2018]
面頁冊數:	1 online resource (xiv, 180 p.)
標題:	Cyberbullying - Research
標題:	Data mining.
ISBN:	9781522552505 (e-book)
ISBN:	9781522552499 (hardback)
書目註:	Includes bibliographical references and index.
內容註:	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、提要註:	"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.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9

Automatic cyberbullying detection[electronic resource] :emerging 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:

734251
Cyberbullying
--Research

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

Dewey Class. No.: 302.34/30285

Automatic cyberbullying detection[electronic resource] :emerging research and opportunities /
LDR:01865nmm a2200277 a 4500 001 513057
003 IGIG
005 20191022172137.0
006 m o d
007 cr cn
008 210929s2018 pau fob 001 0 eng d
010 $z 2017037450
020 $a 9781522552505 (e-book)
020 $a 9781522552499 (hardback)
035 $a (OCoLC)1060557761
035 $a 1081021145
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 0 0 $a HV6773.15.C92 $b P83 2018e
082 0 0 $a 302.34/30285 $2 23
100 1 $a Ptaszynski, Michal E., $d 1981- $e author. $3 734249
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 734251
650 0 $a Data mining. $3 337740
700 1 $a Masui, Fumito, $d 1966- $e author. $3 734250
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9

筆 0 讀者評論

多媒體

多媒體檔案
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9

評論

新增評論分享你的心得

Export

取書館別