[HTML][HTML] The role of open innovation and a normalizing mechanism of social capital in the tourism industry

S Annamalah, P Paraman, S Ahmed, R Dass… - Journal of Open …, 2023 - Elsevier
Social considerations and potential for innovation in resource and technological exploitation
processes have dominated traditional ideas of regional development. Similar to how …

A sustainable way forward: Systematic review of transformer technology in social-media-based disaster analytics

F Sufi - Sustainability, 2024 - mdpi.com
Transformer technologies, like generative pre-trained transformers (GPTs) and bidirectional
encoder representations from transformers (BERT) are increasingly utilized for …

Sentiment analysis of COVID-19 tweets using deep learning and lexicon-based approaches

BS Ainapure, RN Pise, P Reddy, B Appasani… - Sustainability, 2023 - mdpi.com
Social media is a platform where people communicate, share content, and build
relationships. Due to the current pandemic, many people are turning to social networks such …

Sentiment analysis classification system using hybrid BERT models

AS Talaat - Journal of Big Data, 2023 - Springer
Because of the rapid growth of mobile technology, social media has become an essential
platform for people to express their views and opinions. Understanding public opinion can …

COVID-19 Twitter dataset with latent topics, sentiments and emotions attributes

RK Gupta, A Vishwanath, Y Yang - arXiv preprint arXiv:2007.06954, 2020 - arxiv.org
This paper describes a large global dataset on people's discourse and responses to the
COVID-19 pandemic over the Twitter platform. From 28 January 2020 to 1 June 2022, we …

Text mining and emotion classification on monkeypox Twitter dataset: A deep learning-natural language processing (NLP) approach

R Olusegun, T Oladunni, H Audu, YAO Houkpati… - IEEE …, 2023 - ieeexplore.ieee.org
Emotion classification has become a valuable tool in analyzing text and emotions people
express in response to events or crises, particularly on social media and other online …

An ALBERT-based TextCNN-Hatt hybrid model enhanced with topic knowledge for sentiment analysis of sudden-onset disasters

X Zhang, Y Ma - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Sudden-onset disasters put forward new requirements for on the state authorities' ability to
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …

Emotion detection on phone calls during emergency using ensemble model with hyper parameter tuning

AK Selvan, K Nimmi, B Janet… - International Journal of …, 2023 - Springer
The paper's main focus is on speech-based emotion detection in Malayalam phone call
records, including emergency calls [(emergency response support system (ERSS)] and …

HPRXF Model: An Ensemble Transfer Learning-based Fusion model for handling Pandemic-related Calls received by the Emergency Response Support System

K Nimmi, B Janet, A Kalai selvan… - Journal of Ambient …, 2024 - Springer
The COVID-19 epidemic has surely disrupted daily life and resulted in unexpected shifts that
have resulted in serious psychological reactions and mental health crises. In the early days …

Comparing the accuracy of ANN with transformer models for sentiment analysis of tweets related to COVID-19 Pfizer vaccines

X Wu, B Wang, W Li - Chaos, Solitons & Fractals, 2024 - Elsevier
The current study underscores the critical importance of understanding public sentiment
towards vaccination efforts, particularly to achieve the widespread vaccine uptake necessary …