A systematic review on automated clinical depression diagnosis

K Mao, Y Wu, J Chen - npj Mental Health Research, 2023 - nature.com
Assessing mental health disorders and determining treatment can be difficult for a number of
reasons, including access to healthcare providers. Assessments and treatments may not be …

GNN-IR: Examining graph neural networks for influencer recommendations in social media marketing

J Park, H Ahn, D Kim, E Park - Journal of Retailing and Consumer Services, 2024 - Elsevier
With the notable growth of the Internet, a number of platforms have emerged and attracted
an enormous number of users. Based on the impact of these platforms, some 'influencers' …

[HTML][HTML] Fused deep neural networks for sustainable and computational management of heat-transfer pipeline diagnosis

H Ji, CH An, M Lee, J Yang, E Park - Developments in the Built …, 2023 - Elsevier
We propose deep learning-based models for the risk detection of underground pipelines. To
build effective diagnosis models, we construct two types of deep neural network frameworks …

A harmless webtoon for all: An automatic age-restriction prediction system for webtoon contents

H Yu, E Park - Telematics and Informatics, 2023 - Elsevier
Abstract 'Webtoon'a digital version of comics, is one of the leading mainstream cultural
contents accessed in South Korea. While the country has allowed a number of webtoon …

D-hrsp: Dataset of helpful reviews for service providers

J Lee, E Park - Telematics and Informatics, 2023 - Elsevier
Most common services are now provided through mobile applications; thus, the importance
of mobile application reviews has increased. Service providers and developers seek helpful …

[HTML][HTML] Understanding mental health issues in different subdomains of social networking services: computational analysis of text-based Reddit posts

S Kim, J Cha, D Kim, E Park - Journal of Medical Internet Research, 2023 - jmir.org
Background Users increasingly use social networking services (SNSs) to share their
feelings and emotions. For those with mental disorders, SNSs can also be used to seek …

Depression detection for twitter users using sentiment analysis in English and Arabic tweets

AM Helmy, R Nassar, N Ramdan - Artificial intelligence in medicine, 2024 - Elsevier
Since depression often results in suicidal thoughts and leaves a person severely disabled
daily, there is an elevated risk of premature mortality due to mental problems caused by …

Depression detection with machine learning of structural and non‐structural dual languages

F Rehmani, Q Shaheen, M Anwar… - Healthcare …, 2024 - Wiley Online Library
Depression is a serious mental state that negatively impacts thoughts, feelings, and actions.
Social media use is rapidly growing, with people expressing themselves in their regional …

Review of Advancements in Depression Detection Using Social Media Data

S Dalal, S Jain, M Dave - IEEE Transactions on Computational …, 2024 - ieeexplore.ieee.org
A large population embraced social media to share thoughts, emotions, and daily
experiences through text, images, audio, or video posts. This user-generated content (UGC) …

Navigating the financial frontier: a serendipitous journey between corpus linguistics and discourse analysis of economy in parliamentary speeches

S Altamimi - Humanities and Social Sciences Communications, 2023 - nature.com
In the esteemed chambers of Westminster, the United Kingdom's members of Parliament
engage in rigorous discourse regarding economic policies that have far-reaching …