Automatic cyberbullying detection: emerging research and opportunities
"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 ex...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2018]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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"-- |
| Beschreibung: | 16 PDFs (xiv, 180 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781522552505 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 010 | |z 2017037450 | ||
| 020 | |a 9781522552505 |q ebook | ||
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| 100 | 1 | |a Ptaszynski, Michal E., |d 1981- |e author. | |
| 245 | 1 | 0 | |a Automatic cyberbullying detection |b emerging research and opportunities |c by Michal E. Ptaszynski and Fumito Masui. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2018] | |
| 300 | |a 16 PDFs (xiv, 180 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 10/31/2018). | ||
| 650 | 0 | |a Cyberbullying |x Research |x Methodology. | |
| 650 | 0 | |a Data mining. | |
| 700 | 1 | |a Masui, Fumito |d 1966- |e author. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2017037450 | |
| 776 | 0 | 8 | |i Print version: |z 1522552499 |z 9781522552499 |w (DLC) 2017037450 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00187225 |
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| _version_ | 1816797079866966016 |
| adam_text | |
| any_adam_object | |
| author | Ptaszynski, Michal E., 1981- Masui, Fumito 1966- |
| author_facet | Ptaszynski, Michal E., 1981- Masui, Fumito 1966- |
| author_role | aut aut |
| author_sort | Ptaszynski, Michal E., 1981- |
| author_variant | m e p me mep f m fm |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HV6773 |
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| callnumber-search | HV6773.15.C92 P83 2018e |
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| contents | 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. |
| ctrlnum | (CaBNVSL)slc20154922 (OCoLC)1060557761 |
| dewey-full | 302.34/30285 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 302 - Social interaction |
| dewey-raw | 302.34/30285 |
| dewey-search | 302.34/30285 |
| dewey-sort | 3302.34 530285 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
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| isbn | 9781522552505 |
| language | English |
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| spelling | Ptaszynski, Michal E., 1981- author. Automatic cyberbullying detection emerging research and opportunities by Michal E. Ptaszynski and Fumito Masui. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2018] 16 PDFs (xiv, 180 pages) text rdacontent electronic isbdmedia online resource rdacarrier 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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 10/31/2018). Cyberbullying Research Methodology. Data mining. Masui, Fumito 1966- author. IGI Global, publisher. (Original) (DLC)2017037450 Print version: 1522552499 9781522552499 (DLC) 2017037450 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9 Volltext |
| spellingShingle | Ptaszynski, Michal E., 1981- Masui, Fumito 1966- Automatic cyberbullying detection emerging research and opportunities 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. Cyberbullying Research Methodology. Data mining. |
| title | Automatic cyberbullying detection emerging research and opportunities |
| title_auth | Automatic cyberbullying detection emerging research and opportunities |
| title_exact_search | Automatic cyberbullying detection emerging research and opportunities |
| title_full | Automatic cyberbullying detection emerging research and opportunities by Michal E. Ptaszynski and Fumito Masui. |
| title_fullStr | Automatic cyberbullying detection emerging research and opportunities by Michal E. Ptaszynski and Fumito Masui. |
| title_full_unstemmed | Automatic cyberbullying detection emerging research and opportunities by Michal E. Ptaszynski and Fumito Masui. |
| title_short | Automatic cyberbullying detection |
| title_sort | automatic cyberbullying detection emerging research and opportunities |
| title_sub | emerging research and opportunities |
| topic | Cyberbullying Research Methodology. Data mining. |
| topic_facet | Cyberbullying Research Methodology. Data mining. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5249-9 |
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