- Home
- Publications
- Publication Search
- Publication Details
Title
Detecting Presence of PTSD Using Sentiment Analysis From Text Data
Authors
Keywords
-
Journal
Frontiers in Psychiatry
Volume 12, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2022-02-01
DOI
10.3389/fpsyt.2021.811392
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Why the COVID-19 pandemic is a traumatic stressor
- (2021) Victoria M. E. Bridgland et al. PLoS One
- The prevalence of post-traumatic stress disorder related symptoms in Coronavirus outbreaks: A systematic-review and meta-analysis
- (2021) Mona Salehi et al. JOURNAL OF AFFECTIVE DISORDERS
- Impact of COVID‐19 on post‐traumatic stress symptoms in the general population: An integrative review
- (2021) Soyun Hong et al. International Journal of Mental Health Nursing
- World Trade Center responders in their own words: predicting PTSD symptom trajectories with AI-based language analyses of interviews
- (2021) Youngseo Son et al. PSYCHOLOGICAL MEDICINE
- Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces
- (2021) Jeffrey Sawalha et al. Scientific Reports
- Combining Sentiment Lexicons and Content-Based Features for Depression Detection
- (2021) Raymond Chiong et al. IEEE INTELLIGENT SYSTEMS
- A multinational, multicentre study on the psychological outcomes and associated physical symptoms amongst healthcare workers during COVID-19 outbreak
- (2020) Nicholas W.S. Chew et al. BRAIN BEHAVIOR AND IMMUNITY
- Factors associated with post-traumatic stress disorder of nurses exposed to corona virus disease 2019 in China
- (2020) Ya-Xi Wang et al. MEDICINE
- Prevalence of post-traumatic stress disorder during the COVID-19 pandemic in Saudi Arabia
- (2020) Fahad S. Alshehri et al. SAUDI PHARMACEUTICAL JOURNAL
- A deep transfer learning approach for improved post-traumatic stress disorder diagnosis
- (2019) Debrup Banerjee et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Speech‐based markers for posttraumatic stress disorder in US veterans
- (2019) Charles R. Marmar et al. DEPRESSION AND ANXIETY
- The use of machine learning techniques in trauma-related disorders: a systematic review
- (2019) Luis Francisco Ramos-Lima et al. JOURNAL OF PSYCHIATRIC RESEARCH
- Early Linguistic Markers of Trauma-Specific Processing Predict Post-trauma Adjustment
- (2018) Birgit Kleim et al. Frontiers in Psychiatry
- Forecasting the onset and course of mental illness with Twitter data
- (2017) Andrew G. Reece et al. Scientific Reports
- Self-Reported Symptoms of Depression and PTSD Are Associated with Reduced Vowel Space in Screening Interviews
- (2016) IEEE Transactions on Affective Computing
- The epidemiology of traumatic event exposure worldwide: results from the World Mental Health Survey Consortium
- (2015) C. Benjet et al. PSYCHOLOGICAL MEDICINE
- Screening for posttraumatic stress disorder using verbal features in self narratives: A text mining approach
- (2012) Qiwei He et al. PSYCHIATRY RESEARCH
- Discrepancy in Diagnosis and Treatment of Post-traumatic Stress Disorder (PTSD): Treatment for the Wrong Reason
- (2011) Ellen C. Meltzer et al. JOURNAL OF BEHAVIORAL HEALTH SERVICES & RESEARCH
- Emotion and the motivational brain
- (2009) Peter J. Lang et al. BIOLOGICAL PSYCHOLOGY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started