[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-124819-105":59,"doc-detail-124819-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","identifying-ptsd-symptoms-using-machine-learning-techniques-on-social-media","Identifying PTSD Symptoms Using Machine Learning Techniques on Social Media","","Post-traumatic stress disorder (PTSD) is a mental health condition triggered by witnessing or experiencing traumatic events, often associated with flashbacks, nightmares, acute anxiety, and intrusive thoughts. PTSD diagnosis typically requires mental health specialists and is time-consuming, while growing social media usage offers new signals through users’ Twitter posts and shared experiences. This work crawls and preprocesses Twitter text, then trains and evaluates selected machine learning and deep learning models. The results show that a support vector machine achieves the best performance at 91% accuracy for identifying PTSD symptoms from social media.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/identifying-ptsd-symptoms-using-machine-learning-techniques-on-social-media/124819/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/identifying-ptsd-symptoms-using-machine-learning-techniques-on-social-media/124819.png","ImageObject",300,407,{"name":92,"@type":93},"Aurora","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-27","2026-08-05",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is PTSD diagnosis difficult in practice?","Question",{"text":112,"@type":113},"PTSD diagnosis relies on observed symptoms through psychological evaluation, which is time-consuming and requires close monitoring by medical experts.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What data source does this work use to identify PTSD symptoms?",{"text":117,"@type":113},"The work focuses on text postings from Twitter, collected using PTSD-related keywords and preprocessed before model training.",{"name":119,"@type":110,"acceptedAnswer":120},"Which model performed best in the experiments?",{"text":121,"@type":113},"The support vector machine achieved the highest performance with 91% accuracy compared to other tested methods.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},124819,1785894824,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":8,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":81},962084926284,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","Identifying PTSD Symptoms Using Machine Learning Techniques on Social Media  \n2023 IEEE 8th International Conference On Software Engineering and Computer Systems ( ICSECS) | 979-8-3503-1093-1/23/$31.00 ©2023 IEEE | DOI: 10. 1 109/ ICSECS58457. 2023. 10256290  \nMuhamad Aiman Ibrahim Faculty of Computing University Malaysia Pahang Al-Sultan Abdullah Pekan, Pahang [aimn.ibrahm@gmail.com](aimn.ibrahm@gmail.com)  \nNur Syafiqah Mohd Nafis Faculty of Computing University Malaysia Pahang Al-Sultan Abdullah Pekan, Pahang [nsyafiqahmnafis@ump.edu.my](nsyafiqahmnafis@ump.edu.my)  \nNur Hafieza Ismail * Faculty of Computing University Malaysia Pahang Al-Sultan Abdullah Pekan, Pahang [hafieza@ump.edu.my](hafieza@ump.edu.my)  \nAhmad Fakhri Ab. Nasir Faculty of Computing University Malaysia Pahang Al-Sultan Abdullah Pekan, Pahang [afakhri@ump.edu.my](afakhri@ump.edu.my)  \nNur Shazwani Kamarudin Faculty of Computing University Malaysia Pahang Al-Sultan Abdullah Pekan, Pahang [nshazwani@ump.edu.my](nshazwani@ump.edu.my)  \nAbstract—Post-traumatic stress disorder (PTSD) is a mental health illness brought on by watching or experiencing a horrific incident. Flashbacks, nightmares, acute anxiety, and uncontrolled thoughts about the unforgettable incident are the possible symptoms faced by PTSD sufferers. The PTSD diagnosis is usually done by a mental health specialist based on the symptoms that the person has, and the task is very timeconsuming. Due to the widespread use of social media in recent years, it has opened up the opportunity to explore PTSD signs in users’ postings on Twitter. The content-sharing feature available on this platform has allowed its users to share personal experiences, thoughts, and feelings that could reflect their psychological status. Thus, the goal of this work is to identify the PTSD symptom from text posting on Twitter. The crawled text posting is filtered and trained on selected machine learning and deep learning methods. The experiment results show that the support vector machine performed the best with 91% accuracy compared to others. This extracted model could be used in identifying PTSD symptoms on social media.  \nKeywords—PTSD, mental health, social media, machine learning, deep learning, health informatics  \nI. INTRODUCTION  \nEvery year, around 3.5% of U.S. adults suffered from PTSD. The PTSD problem began in the brain when the hippocampal area is unable to integrate emotion and memory, causing it to shrink. Like every other organ in our body, the brain also can undergo alterations such as destruction and healing. Those resulting from life events including trauma can affect the rest of the body. Many people who experience traumatic incidents might have momentary difficulties to back to normal life and daily routine, but they usually get better over time. For example, they may have sleeping issues, such as insomnia, and have difficulty focusing. However, if the symptoms intensify and linger for months or years, the individual may suffer from PTSD and should be evaluated by a medical expert. In the worse cases, they could hurt themselves or others.  \nPTSD is frequently misdiagnosed or undetected, leading to ineffective medical treatment for sufferers. A study that was conducted in the U.S. states that only 2% to 11% of PTSD patients have been diagnosed in a primary care setting and very few of them properly received treatment for PTSD [1] . The diagnosis procedure for PTSD is unlike general physical illness. When diagnosing a patient, the doctor needs to perform a medical examination including blood tests, anda  \npsychological evaluation. That will include detailed observations of the symptoms being experienced. Making a diagnosis is a challenging task, and finding the right treatment for each PTSD patient requires time and close monitoring by the medical expert.  \nThus, to better identify and recognize the PTSD sufferer, more attention and effort need to be spent to properly address this illness in practice. Find","cbCaifaHzTljaSj0","https://ap.wps.com/l/cbCaifaHzTljaSj0","pdf",207639,"English","# Introduction\n## PTSD and challenges in diagnosis\n## Social media as data source\n## Related work\n# Method and experiment\n## Data collection and preprocessing\n## Model training and evaluation","[{\"question\":\"Why is PTSD diagnosis difficult in practice?\",\"answer\":\"PTSD diagnosis relies on observed symptoms through psychological evaluation, which is time-consuming and requires close monitoring by medical experts.\"},{\"question\":\"What data source does this work use to identify PTSD symptoms?\",\"answer\":\"The work focuses on text postings from Twitter, collected using PTSD-related keywords and preprocessed before model training.\"},{\"question\":\"Which model performed best in the experiments?\",\"answer\":\"The support vector machine achieved the highest performance with 91% accuracy compared to other tested methods.\"}]","Identifying PTSD Symptoms Using Machine Learning Techniques on Social Media | PDF"]