[HTML][HTML] Mental health analysis in social media posts: a survey
M Garg - Archives of Computational Methods in Engineering, 2023 - Springer
The surge in internet use to express personal thoughts and beliefs makes it increasingly
feasible for the social NLP research community to find and validate associations between …
feasible for the social NLP research community to find and validate associations between …
Exploring destination image of dark tourism via analyzing user generated photos: A deep learning approach
Tourism destination image (TDI) in the dark tourism context is considered to be a complex
and controversial, yet rarely studied issue in the literature. This study selected three types of …
and controversial, yet rarely studied issue in the literature. This study selected three types of …
[HTML][HTML] Emotional profiling and cognitive networks unravel how mainstream and alternative press framed AstraZeneca, Pfizer and COVID-19 vaccination campaigns
COVID-19 vaccines have been largely debated by the press. To understand how
mainstream and alternative media debated vaccines, we introduce a paradigm …
mainstream and alternative media debated vaccines, we introduce a paradigm …
[HTML][HTML] Visualizing software refactoring using radar charts
Refactoring tools have advanced greatly and are being used in many large projects. As a
result, a great deal of information is now available about past refactoring and its effects on …
result, a great deal of information is now available about past refactoring and its effects on …
[HTML][HTML] Dasentimental: Detecting depression, anxiety, and stress in texts via emotional recall, cognitive networks, and machine learning
Most current affect scales and sentiment analysis on written text focus on quantifying
valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex …
valence/sentiment, the primary dimension of emotion. Distinguishing broader, more complex …
Cognitive network neighborhoods quantify feelings expressed in suicide notes and reddit mental health communities
Writing messages is key to expressing feelings. This study adopts cognitive network science
to reconstruct how individuals report their feelings in clinical narratives like suicide notes or …
to reconstruct how individuals report their feelings in clinical narratives like suicide notes or …
[HTML][HTML] The emotional side of taking part in a cancer clinical trial
Background Taking part in a cancer clinical trial often represents a source of psychological
distress and emotional activation among patients and their caregivers. Nowadays, social …
distress and emotional activation among patients and their caregivers. Nowadays, social …
Hate Speech Patterns in Social Media: A Methodological Framework and Fat Stigma Investigation Incorporating Sentiment Analysis, Topic Modelling and Discourse …
VU Wanniarachchi, C Scogings… - Australasian Journal …, 2023 - journal.acs.org.au
Social media offers users an online platform to freely express themselves; however, when
users post opinionated and offensive comments that target certain individuals or …
users post opinionated and offensive comments that target certain individuals or …
Fat stigma and body objectification: A text analysis approach using social media content
This study investigates how female and male genders are positioned in fat stigmatising
discourses that are being conducted over social media. Weight-based linguistic data corpus …
discourses that are being conducted over social media. Weight-based linguistic data corpus …
Fake news, real emotions: Emotion analysis of covid-19 infodemic in weibo
The proliferation of COVID-19 fake news on social media poses a severe threat to the health
information ecosystem. We show that affective computing can make significant contributions …
information ecosystem. We show that affective computing can make significant contributions …