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Social network X and mental health in Brazil in times of coronavirus

Thallys da Silva Nogueira, Laisa Marcorela Andreoli Sarte, Priscila Vanessa Zabala Capriles Goliatt • HU Revista (2024)

Introduction: The COVID-19 pandemic has had a number of impacts on people's daily lives around the world. The radical change in people's daily routines has led to an increase in the use and consumption of social media content. The scenario ...

DOAJ Open Access (DOAJ) DOI: 10.34019/1982-8047.2024.v50.44375

TweetNLP: Cutting-Edge Natural Language Processing for Social Media

José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio et al. • Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP) (2022)

Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez Cámara. Proceedings of the 2022 Conference on Empirical Methods in Nat...

OPENALEX cc-by DOI: https://doi.org/10.18653/v1/2022.emnlp-demos.5

Assessing perception and equity of cultural ecosystem services in urban parks using social media data

Yu Zhang, Lin Zhao, Shiyuan Hu • Scientific Reports (2025)

Abstract Scientific assessment of cultural ecosystem services (CESs) levels in urban parks and refined analysis of their spatial equity are essential for residents’ social well-being. However, traditional assessment methods often fail to ca...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-18288-0

Sentiment Analysis and Topic Modeling of Indonesian Public Conversation about COVID-19 Epidemics on Twitter

Muhammad Habibi, Adri Priadana, Muhammad Rifqi Ma’arif • IJID (International Journal on Informatics for Development) (2021)

The World Health Organization (WHO) declared the COVID-19 outbreak has resulted in more than six million confirmed cases and more than 371,000 deaths globally on June 1, 2020. The incident sparked a flood of scientific research to help soci...

DOAJ Open Access (DOAJ) DOI: 10.14421/ijid.2021.2400

Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed

Wang, Jing, Deng, Huan, Liu, Bangtao, Hu, Anbin et al. • Journal of Medical Internet Research (2020)

BackgroundNatural language processing (NLP) is an important traditional field in computer science, but its application in medical research has faced many challenges. With the extensive digitalization of medical information globally and incr...

DOAJ Open Access (DOAJ) DOI: 10.2196/16816

Urdu poetry and Eco Criticism

Saima aslam • بازیافت (2023)

 Eco-criticism is relatively considered a new term in Urdu literature although a brief review of Urdu literature particularly poetry indicates that environmental problems have always been critically observed by the literary minds. Eco...

DOAJ Open Access (DOAJ) DOI: 10.57156/bazyaft4216017

Machine Learning and Natural Language Processing in Mental Health: Systematic Review

Aziliz Le Glaz, Yannis Haralambous, Deok-Hee Kim-Dufor, Philippe Lenca et al. • Journal of Medical Internet Research (2020)

BACKGROUND: Machine learning systems are part of the field of artificial intelligence that automatically learn models from data to make better decisions. Natural language processing (NLP), by using corpora and learning approaches, provides ...

OPENALEX cc-by DOI: https://doi.org/10.2196/15708 PMC: 8132982

Influence in the caption: how mega influencers use language in sponsored Instagram posts

Safura Mohamed Kallier-Tar, Monique Du Bruyn • Frontiers in Communication (2026)

Background/IntroductionThe success of influencer marketers' posts on social media often hinges on the influencer's ability to resonate with their audience through the language that they use. By leveraging their unique language cues and comm...

DOAJ Open Access (DOAJ) DOI: 10.3389/fcomm.2026.1799090

Menstrual Health Education Using a Specialized Large Language Model in India: Development and Evaluation Study of MenstLLaMA

Prottay Kumar Adhikary, Isha Motiyani, Gayatri Oke, Maithili Joshi et al. • Journal of Medical Internet Research (2025)

Abstract BackgroundThe quality and accessibility of menstrual health education (MHE) in low- and middle-income countries, including India, remain inadequate due to persistent challenges (eg, poverty, social stigma, and gender in...

DOAJ Open Access (DOAJ) DOI: 10.2196/71977

Mapping inequities in global vaccine sentiment research

Aleksandra Torbica, Deepak Sharma, Duilio Balsamo, Vittoria Offeddu et al. • BMJ Global Health (2025)

Introduction Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectiveness of immunisation programmes, with dramatic effects on morbidity and mortality for vaccine-preventable diseases. Yet, health re...

DOAJ Open Access (DOAJ) DOI: 10.1136/bmjgh-2024-018587

Natural language processing applied to mental illness detection: a narrative review

Tianlin Zhang, Annika Marie Schoene, Shaoxiong Ji, Sophia Ananiadou • npj Digital Medicine (2022)

Mental illness is highly prevalent nowadays, constituting a major cause of distress in people's life with impact on society's health and well-being. Mental illness is a complex multi-factorial disease associated with individual risk factors...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41746-022-00589-7 PMC: 8993841

Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy

Arezo Shakeri, Mina Farmanbar • Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring (2025)

Abstract INTRODUCTION Alzheimer's disease (AD) prevalence is increasing, with no current cure. Natural language processing (NLP) offers the potential for non‐invasive diagnostics, social burden assessment, and research advancements in AD. M...

DOAJ Open Access (DOAJ) DOI: 10.1002/dad2.70082

A Survey on Gender Bias in Natural Language Processing

Karolina Stańczak, Isabelle Augenstein • arXiv (Cornell University) (2021)

Language can be used as a means of reproducing and enforcing harmful stereotypes and biases and has been analysed as such in numerous research. In this paper, we present a survey of 304 papers on gender bias in natural language processing. ...

OPENALEX Open Access DOI: https://doi.org/10.48550/arxiv.2112.14168