Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Artificial Intelligence (AI) (1)
- BERT (1)
- Benefits of AI (1)
- Bias in AI Systems (1)
- Conceptual Investigation (1)
-
- Deep Learning (1)
- Deep learning (1)
- Ethical Considerations (1)
- Future AI (1)
- Hate speech (1)
- Human-AI Interaction (1)
- Human-Machine Interaction (1)
- Job Displacement (1)
- Machine Learning (1)
- Machine learning (1)
- Metamophosis (1)
- Natural Language Processing (1)
- Pretrained models (1)
- Quantum Computing (1)
- Risks of AI (1)
- RoBERTa (1)
- Robotics (1)
- SWOT (1)
- Social media (1)
- Text classification (1)
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Computational Linguistics
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Library Philosophy and Practice (e-journal)
Abstract
Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …
Evaluation Of Different Machine Learning, Deep Learning And Text Processing Techniques For Hate Speech Detection, Nabil Shawkat
Evaluation Of Different Machine Learning, Deep Learning And Text Processing Techniques For Hate Speech Detection, Nabil Shawkat
MSU Graduate Theses
Social media has become a domain that involves a lot of hate speech. Some users feel entitled to engage in abusive conversations by sending abusive messages, tweets, or photos to other users. It is critical to detect hate speech and prevent innocent users from becoming victims. In this study, I explore the effectiveness and performance of various machine learning methods employing text processing techniques to create a robust system for hate speech identification. I assess the performance of Naïve Bayes, Support Vector Machines, Decision Trees, Random Forests, Logistic Regression, and K Nearest Neighbors using three distinct datasets sourced from social …