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 …

[HTML][HTML] Multilingual hope speech detection: A Robust framework using transfer learning of fine-tuning RoBERTa model

MSI Malik, A Nazarova, MM Jamjoom… - Journal of King Saud …, 2023 - Elsevier
Abstract Hope Speech Detection (HSD) from social media is a new direction for promoting
and supporting positive content to encourage harmony and positivity in society. As users of …

Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis

N Khan, Z Khan, A Koubaa, MK Khan… - Connection …, 2024 - Taylor & Francis
In 2022, OpenAI's unveiling of generative AI Large Language Models (LLMs)-ChatGPT,
heralded a significant leap forward in human-machine interaction through cutting-edge AI …

A Comprehensive Analysis and Investigation of the Public Discourse on Twitter about Exoskeletons from 2017 to 2023

N Thakur, KA Patel, A Poon, R Shah, N Azizi, C Han - Future Internet, 2023 - mdpi.com
Exoskeletons have emerged as a vital technology in the last decade and a half, with diverse
use cases in different domains. Even though several works related to the analysis of Tweets …

Modeling group-level public sentiment in social networks through topic and role enhancement

R Zhang, B Liu, J Cao, H Zhao, X Sun, Y Liu… - Knowledge-Based …, 2024 - Elsevier
Public sentiment within social networks exerts a profound influence on societal dynamics,
underscoring the increasing demand for accurate public opinion prediction. Most existing …

An Automatic Sentiment Analysis Method for Short Texts Based on Transformer-BERT Hybrid Model

H Xiao, L Luo - IEEE Access, 2024 - ieeexplore.ieee.org
Sentiment analysis towards short texts is always facing challenges, because short texts only
contain limited semantic characteristics. As a result, this paper constructs a specific large …

A multi-type semantic interaction and enhancement method for tax question understanding

J Li, D Zhang, Y Xie, A Wulamu - Engineering Applications of Artificial …, 2024 - Elsevier
Problem classification serves as a fundamental process in a tax intelligence consulting
system, enabling the categorization of user-posed questions according to their semantic …

The Intersection of Generative AI and Healthcare: Addressing Challenges to Enhance Patient Care

E Albaroudi, T Mansouri… - … International Women in …, 2024 - ieeexplore.ieee.org
This research analyses the evolving intersection of generative AI and healthcare. It explores
the transformative potential of integrating generative AI in healthcare, particularly in process …

A Transformer-BERT Integrated Model-Based Automatic Conversation Method Under English Context

T Liu, L Zhang, F Alqahtani, A Tolba - IEEE Access, 2024 - ieeexplore.ieee.org
The contextual understanding ability in complex conversation scenarios has been a
challenging issue, and existing methods mostly failed to possess such characteristics. To …

Detecting Reported Side Effects of COVID-19 Vaccines from Arabic Twitter (X) Data

MK Alhumayani, HN Alhazmi - IEEE Access, 2024 - ieeexplore.ieee.org
Vaccines might potentially cause side effects as any other drugs, which needs to be
investigated and analyzed to identify the public safety concerns. The massive vaccination …