[HTML][HTML] The role of open innovation and a normalizing mechanism of social capital in the tourism industry
Social considerations and potential for innovation in resource and technological exploitation
processes have dominated traditional ideas of regional development. Similar to how …
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 …
encoder representations from transformers (BERT) are increasingly utilized for …
Sentiment analysis of COVID-19 tweets using deep learning and lexicon-based approaches
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 …
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 …
platform for people to express their views and opinions. Understanding public opinion can …
COVID-19 Twitter dataset with latent topics, sentiments and emotions attributes
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 …
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
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 …
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 …
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …
Emotion detection on phone calls during emergency using ensemble model with hyper parameter tuning
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 …
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
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 …
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 …
towards vaccination efforts, particularly to achieve the widespread vaccine uptake necessary …