Java
Deep Learning & Vision
IEEE 2026
ID: 1CP0001
Social Media Forensics An Adaptive Cyberbullying Related Hate Speech Detection Approach Based on Neural Networks With Uncertainty
Keywords:
Cyberbullying,
Social
Media,
Neural
Networks
,
data
mining,
Hate
Speech
Detection
Project Synopsis & Overview
To develop an adaptive social media forensics framework that detects cyberbullying-related hate speech using neural networks. The approach focuses on handling uncertainty in language patterns for more accurate and reliable detection.
Complete Technical Specifications
| Project ID | 1CP0001 (DB ID: 1) |
| Project Title | Social Media Forensics An Adaptive Cyberbullying Related Hate Speech Detection Approach Based on Neural Networks With Uncertainty |
| Domain Division | Java |
| Sub-Domain / Tech | Deep Learning & Vision |
| IEEE Year | IEEE 2026 |
| Package Price | ₹6500 |
| Created Date | Aug 01, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
Need Help or Customization?
Call or WhatsApp our technical lead directly at +91 79043 20834
Related Java Projects
Java
2019
ID2S Password Authenticated Key Exchange Protocols
Password
Authentication,
Key
Exchange,
ID-Based
Cryptography,
Security
Protocols,
Mutual
Authentication
Java
2022
FRoDO Fraud Resilient Device for Off Line Micro Payments
Micro-Payments,
Fraud
Detection,
Secure
Transactions,
Offline
Payment,
Device
Security
Java
2019
Tell Me What You Eat and I Will Tell You Where You Come From A Data Science Approach for Global Recipe Data on the Web
Data
Science,
Recipe
Analysis,
Cultural
Prediction,
Global
Food
Data,
Pattern
Recognition
Java
2018
EPLQ Efficient Privcay perserving Location based query over outsourced Encrypted data
Privacy-Preserving,
Location-Based
Query,
Encrypted
Data,
Cloud
Security,
Data
Confidentiality