東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Automatic cyberbullying detection = ...

Ptaszynski, Michal E., (1981-)

FindBook

Google Book

Amazon

博客來

Automatic cyberbullying detection = emerging research and opportunities /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Automatic cyberbullying detection/ by Michal E. Ptaszynski and Fumito Masui.
其他題名:	emerging research and opportunities /
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.)
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.
標題:	Cyberbullying - Research -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9
ISBN:	9781522552505 (e-book)

Automatic cyberbullying detection = 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:

2109542
Cyberbullying
--Research

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

Dewey Class. No.: 302.34/30285

Automatic cyberbullying detection = emerging research and opportunities /
LDR:01865nmm 2200277 a 4500 001 2183901
003 IGIG
005 20191022172137.0
006 m o d
007 cr cn
008 191225s2018 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 3395505
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 2109542
650 0 $a Data mining. $3 562972
700 1 $a Masui, Fumito, $d 1966- $e author. $3 3395506
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9