Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach

M Mujahid, F Rustam, R Shafique, V Chunduri… - Information, 2023 - mdpi.com
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …

Hybrid deep models for parallel feature extraction and enhanced emotion state classification

S Pichandi, G Balasubramanian, V Chakrapani - Scientific Reports, 2024 - nature.com
Emotions play a vital role in recognizing a person's thoughts and vary significantly with
stress levels. Emotion and stress classification have gained considerable attention in …

The influence of two and three-dimensional spatial characteristics of industrial parks on the emotional well-being of employees: A case study of Shenzhen

X Ding, B Feng, J Wu - Applied Geography, 2024 - Elsevier
Enhancing the emotions of the workers within industrial parks is crucial for achieving the
sustainable development goal (SDG). However, evidence on the impact of industrial park …

Book recommendation using sentiment analysis and ensembling hybrid deep learning models

P Devika, A Milton - Knowledge and Information Systems, 2024 - Springer
An immense volume of user-generated content exists online due to the exponential growth
of internet usage among individuals. However, this abundance presents substantial …

Ensemble learning approach for distinguishing human and computer-generated Arabic reviews

F Alhayan, H Himdi - PeerJ Computer Science, 2024 - peerj.com
While customer reviews are crucial for businesses to maintain their standing in the
marketplace, some may employ humans to create favorable reviews for their benefit …

Real-time topic-based sentiment analysis for movie tweets using hybrid approach

A Madan, D Kumar - Knowledge and Information Systems, 2024 - Springer
This paper aims to perform sentiment analysis (SA), which deals with dissecting and then
extracting the hidden insights from the sentences said or written by a person. The proposed …

Brain Stroke Prediction through Deep Learning Techniques with ADASYN Strategy

A Rehman - … 16th International Conference on Developments in …, 2023 - ieeexplore.ieee.org
A stroke occurs when there is a sudden interruption of blood flow to a specific area of the
brain. Brain cells perish and lose functionality when deprived of blood flow, depending on …

[PDF][PDF] The Theoretical and Practical Implications of OpenAI System Rubric Assessment and Feedback on Higher Education Written Assignments

LJP Fuller, C Bixby - American Journal of Educational Research, 2024 - researchgate.net
Integrating artificial intelligence (AI) in teaching and assessment is becoming increasingly
common. However, concern exists regarding the reliability and consistency of generative AI …

Convolution Neural Network-Based Efficient Development of Intrusion Detection Using Various Deep Learning Approaches

G Gowthami, SS Priscila - Explainable AI Applications for Human …, 2024 - igi-global.com
As internet usage has increased, firewalls and antiviruses are not alone enough to
overcome the attacks and assure the privacy of information in a computer network, which …

An Optimized Clustering Quality Analysis in K-Means Cluster Using Silhouette Scores

FM Ilyas, SS Priscila - … AI Applications for Human Behavior Analysis, 2024 - igi-global.com
Data-driven problem-solving requires the capacity to use cutting-edge computational
methods to explain fundamental phenomena to a large audience. These facilities are …