 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: December 2025
Volume 10 | Issue 12
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19688
Article Published : 8087
Total Authors : 21392
Total Reviewer : 770
Total Countries : 147
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | CYBERBULLYING DETECTION IN SOCIAL NETWORK |
| Authors Name: | Edla Hareen |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_184889
|
| Published Paper Id: | IJRTI2212054 |
| Published In: | Volume 7 Issue 12, December-2022 |
| DOI: | |
| Abstract: | The escalated usage of social networking sites and freedom of speech has given optimal ground to individuals across all demographics of cyberbullying and cyber aggression. This leaves drastic and noticeable impacts on the behavior of a victim, ranging from om disturbance in emotional well-being and isolation from society to more severe and deadly consequences. Automatic cyberbullying detection has remained a very challenging task since social media content is in natural language and is usually posted in unstructured free-text form, leaving behind the language norms, rules, and standards. Evidently, there exist a substantial number of research studies that primarily focus on discovering cyberbullying textual patterns over diverse social media platforms, as discussed previously in the literature review section. However, most of the detection schemes and automated approaches formulated are for resource-rich and mature languages spoken worldwide. English is commonly spoken around the world and is a language with limited resources. Hence, this research puts forth novel efforts to propose data pre-processing techniques on English scripting and develop deep learning-based hybrid models for automated cyberbullying detection in English. The outcomes of this study, if implemented, will assist cyber centers and investigation agencies in monitoring social content and making cyberspace a secure and safer place for all segments of society. |
| Keywords: | CNN, DNN, Cyberbullying,Transfer learning |
| Cite Article: | "CYBERBULLYING DETECTION IN SOCIAL NETWORK ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 12, page no.404 - 412, December-2022, Available :http://www.ijrti.org/papers/IJRTI2212054.pdf |
| Downloads: | 000205259 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2212054
Registration ID:184889
Published In: Volume 7 Issue 12, December-2022
DOI (Digital Object Identifier):
Page No: 404 - 412 Country: Rajahmundry, Andhra Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2212054 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2212054 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2025 - All Rights Reserved - IJRTI | |||