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This paper leverages the established linkage between personality traits and emotional behaviors to develop a novel transferring-based multitask learning framework that predicts both simultaneously. It evaluates and discusses multiple information-sharing mechanisms across the two tasks and applies a model-agnostic meta-learning-like approach to optimize training, achieving state-of-the-art performance on several benchmark datasets.",{"@graph":69,"@context":123},[70,84,106],{"@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/multitask-learning-for-emotion-and-personality-traits-detection-article/293166/",{"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/multitask-learning-for-emotion-and-personality-traits-detection-article/293166.png","ImageObject",300,407,{"name":92,"@type":93},"Well Done","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-04","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What problem does the paper address?","Question",{"text":113,"@type":114},"It addresses automated detection of both personality traits and emotions from digital data, noting the lack of datasets annotated for both tasks simultaneously.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How does the proposed method handle two different tasks?",{"text":118,"@type":114},"It uses a multitask learning framework with a novel information-sharing mechanism based on a SoG gate, trained to predict personality traits and emotions jointly.",{"name":120,"@type":111,"acceptedAnswer":121},"Why is meta-learning used in the model optimization?",{"text":122,"@type":114},"A model-agnostic meta-learning-like framework is adopted to improve the quality of the learning process and optimize training for the multitask setup.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},293166,1789660548,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145,"preview_page_count":4},5909892210082,"https://ap-avatar.wpscdn.com/avatar/56001069da27c9f41e8?x-image-process=image/resize,m_fixed,w_180,h_180&k=1789614185077863061","Multitask learning for emotion and personality traits detection Yang Li a, ⇑, Amirmohammad Kazemeinib, Yash Mehta c, Erik Cambria d  \na Northwestern Polytechnical University, China b Western University, Canada  \nc University College London, UK  \nd Nanyang Technological University, Singapore  \n| a r t i c l e i n f o |  | a b s t r a c t |\n| --- | --- | --- |\n| Article history:\u003Cbr>Received 14 March 2022\u003Cbr>Accepted 3 April 2022\u003Cbr>Available online 10 April 2022 Communicated by Zidong Wang |  | In recent years, deep learning-based automated personality traits detection has received a lot of attention, especially now, due to the massive digital footprints of an individual. Moreover, many researchers have demonstrated that there is a strong link between personality traits and emotions. In this paper, we build on the known correlation between personality traits and emotional behaviors and propose a novel transferring based multitask learning framework that simultaneously predicts both of them. We also empirically evaluate and discuss different information-sharing mechanisms between the two tasks. To ensure the high quality of the learning process, we adopt a model-agnostic meta-learning-like framework for model optimization. Our computationally efficient multitask learning model achieves the state-ofthe-art performance across multiple famous personality and emotion datasets, even outperforming language model-based models.\u003Cbr>􀀁 2022 Elsevier B.V. All rights reserved. |\n| Keywords:\u003Cbr>Personality traits detection\u003Cbr>Emotion detection\u003Cbr>Multitask learning\u003Cbr>Information sharing gate |  |  |\n\n1. Introduction  \nPersonality traits refer to the difference among individuals in characteristic patterns of thinking, feeling, and behaving. Specifically, personality traits have been related to individual wellbeing, social-institutional outcomes (e.g., occupational choices, job success), and interpersonal (e.g., relationship satisfaction). In addition, in modern times, people prefer delivering their thoughts, emotions, and complaints on social media platforms, e.g., Facebook and Twitter [68]. Hence, there is a widespread interest to develop models that can use online data on human preferences and behavior (i.e., digital footprints) to automatically predict individuals’levels of personality traits for use in job screenings [45], recommender systems [44] and social network analysis. You et al. [76] found that the digital footprint on social media can be used to measure personality traits well. There are different systems in the personality traits description, and the most widely used is called the Five-Factor Model [27]. This system includes five traits that can be remembered by the acronym OCEAN: Openness (OPN), Conscientiousness (CON), Extraversion (EXT), Agreeableness (AGR), and Neuroticism (NEU). With the advancement in machine learning research and the availability of larger amounts of data, the ability  \n⇑ Corresponding author.  \nE-mail addresses: [liyangnpu@nwpu.edu.cn](liyangnpu@nwpu.edu.cn) (Y. Li), [akazemei@uwo.ca](akazemei@uwo.ca) (A. Kaze  \nmeini), [y.mehta@ucl.ac.uk](y.mehta@ucl.ac.uk) (Y. Mehta), [cambria@ntu.edu.sg](cambria@ntu.edu.sg) (E. Cambria).  \nand desire to detect user personality and preference are now higher than ever. While the performance of these models is not high enough to allow for the precise distinction of people based on their traits, predictions can still be ‘right’ on average and be utilized for digital mass persuasion [53]. However, automated personality traits prediction also raises serious concerns w.r.t. individual privacy and the conception of informed consent [52].  \nRecent works on this have made significant strides in machine learning-based personality traits detection [54,4,10,37,46,76,77]. However, all existing works are single-task learning in the supervised learning way. For example, Kalghatgi et al. [37] added a Multi-Layer Perceptron (MLP) over handcrafted features to do the detection, Tandera et al.","cbCaicqxLfyWIlz8","https://ap.wps.com/l/cbCaicqxLfyWIlz8","pdf",1318080,11,"English","# Introduction\n## Background and motivation\n## Personality traits and the Five-Factor Model\n## Related work on personality trait detection\n## Relationship between emotion and personality\n## Proposed multitask framework and information sharing","[{\"question\":\"What problem does the paper address?\",\"answer\":\"It addresses automated detection of both personality traits and emotions from digital data, noting the lack of datasets annotated for both tasks simultaneously.\"},{\"question\":\"How does the proposed method handle two different tasks?\",\"answer\":\"It uses a multitask learning framework with a novel information-sharing mechanism based on a SoG gate, trained to predict personality traits and emotions jointly.\"},{\"question\":\"Why is meta-learning used in the model optimization?\",\"answer\":\"A model-agnostic meta-learning-like framework is adopted to improve the quality of the learning process and optimize training for the multitask setup.\"}]","Multitask learning for emotion and personality traits detection - Article | PDF",28]