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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 28 1 Mental Illness and Suicide Ideation Detection Using Social Media Data Kirinde Gamaarachchige, Prasadith Buddhitha. - : Université d'Ottawa / University of Ottawa, 2021 Abstract: Mental disorders and suicide have become a global public health problem. Over the years, researchers in computational linguistics have extracted features from social media data for the early detection of users susceptible to mental disorders and suicide ideation. Lack of reliable and inadequate data and the requirement of interpretability can be identified as the principal reasons for the low adoption of neural network architectures in recognizing individuals with mental disorders and suicide ideation. In recent years, a gradual increase in the use of deep neural network architectures in detecting mental disorders and suicide ideation with low false positive and false negative rates became feasible. Our research investigates the efficacy of using a shared representation to learn lower-level features mutual among mental disorders and between mental disorders and suicide ideation. In addition to discovering the shared features between users with suicidal thoughts and users who self-declared a single mental disorder, we further investigate the impact of comorbidities on suicide ideation and use two unseen datasets to investigate the generalizability of the trained models. We use data from two different social media platforms to identify if knowledge can be shared between suicide ideation and mental illness detection tasks across platforms. Through multiple experiments with different but related tasks, we demonstrate the effectiveness of multi-task learning (MTL) when predicting users with mental disorders and suicide ideation. We produce competitive results using MTL with hard parameter sharing when predicting neurotypical users, users who might have PTSD (Post-Traumatic Stress Disorder), and users with depression. The results were further improved by using auxiliary inputs such as emotion, age, and gender. To predict users with suicide ideation or mental disorders (i.e., either single or multiple disorders), we use MTL with hard and soft parameter sharing and produce state-of-the-art results predicting users with suicide ideation who require urgent attention. For similar tasks, but with data from two different social media platforms, we further improve the state-of-the-art results when predicting users with suicide ideation who require urgent attention. In addition, we managed to improve the overall performances of the models by using different auxiliary inputs. Keyword: NLP URL: https://doi.org/10.20381/ruor-27125 http://hdl.handle.net/10393/42908 BASE Hide details 2 Predicting Depression and Suicide Ideation in the Canadian Population Using Social Media Data Skaik, Ruba. - : Université d'Ottawa / University of Ottawa, 2021 BASE Show details 3 A multi-platform dataset for detecting cyberbullying in social media [<Journal>] Bruwaene, David Van [Verfasser]; Huang, Qianjia [Verfasser]; Inkpen, Diana [Verfasser] DNB Subject Category Language Show details 4 Automatic Poetry Classification and Chronological Semantic Analysis Rahgozar, Arya. - : Université d'Ottawa / University of Ottawa, 2020 BASE Show details 5 Interpretability for Deep Learning Text Classifiers Lucaci, Diana. - : Université d'Ottawa / University of Ottawa, 2020 BASE Show details 6 Natural Language Processing for Book Recommender Systems Alharthi, Haifa. - : Université d'Ottawa / University of Ottawa, 2019 BASE Show details 7 User Modeling in Social Media: Gender and Age Detection Daneshvar, Saman. - : Université d'Ottawa / University of Ottawa, 2019 BASE Show details 8 Introduction to the special issue on Language in Social Media: Exploiting discourse and other contextual information Benamara, Farah; Inkpen, Diana; Taboada, Maite. - : HAL CCSD, 2018. : The MIT Press, 2018 In: https://hal.archives-ouvertes.fr/hal-03044246 ; Benamara, Farah; Taboada, Maïté; Inkpen, Diana; ACL: Association for Computational Linguistics. The MIT Press, 44 (4, special issue), pp.663-681, 2018, Computational Linguistics, ISSN: 0891-2017. &#x27E8;10.1162/coli_a_00333&#x27E9; ; https://www.mitpressjournals.org/doi/full/10.1162/coli_a_00333 (2018) BASE Show details 9 Automatic Poetry Classification Using Natural Language Processing Kesarwani, Vaibhav. - : Université d'Ottawa / University of Ottawa, 2018 BASE Show details 10 Stance Detection and Analysis in Social Media Sobhani, Parinaz. - : Université d'Ottawa / University of Ottawa, 2017 BASE Show details 11 Identifying Expressions of Emotions and Their Stimuli in Text Ghazi, Diman. - : Université d'Ottawa / University of Ottawa, 2016 BASE Show details 12 Sentiment Analysis of Data from Online Forums on the Newborn Genome Sequencing Poursepanj, Hamid. - : Université d'Ottawa / University of Ottawa, 2015 BASE Show details 13 Graphon: A Comparison of Grapheme-to-phoneme Conversion Performance between an Automated System and Primary Grade Students Joubarne, Colette. - : Université d'Ottawa / University of Ottawa, 2015 BASE Show details 14 Prior and contextual emotion of words in sentential context Ghazi, Diman; Inkpen, Diana; Szpakowicz, Stan In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 28 (2014) 1, 76-92 OLC Linguistik Show details 15 Approaches of anonymisation of an SMS corpus Patel, Namrata; Accorsi, Pierre; Inkpen, Diana... In: 14th International Conference on Intelligent Text Processing and Computational Linguistics ; CICLing: Conference on Intelligent Text Processing and Computational Linguistics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-00816285 ; CICLing: Conference on Intelligent Text Processing and Computational Linguistics, Mar 2013, Samos, Greece. pp.77-88, &#x27E8;10.1007/978-3-642-37247-6_7&#x27E9; ; http://www.cicling.org/2013/ (2013) BASE Show details 16 Evaluating Text Segmentation Fournier, Christopher. - : Université d'Ottawa / University of Ottawa, 2013 BASE Show details 17 A hierarchical approach to mood classification in blogs Keshtkar, Fazel; Inkpen, Diana In: Natural language engineering. - Cambridge : Cambridge University Press 18 (2012) 1, 61-81 BLLDB OLC Linguistik Show details 18 A Computational Approach to the Analysis and Generation of Emotion in Text Keshtkar, Fazel. - : Université d'Ottawa / University of Ottawa, 2011 BASE Show details 19 An Unsupervised Approach to Detecting and Correcting Errors in Text Islam, Md Aminul. - : Université d'Ottawa / University of Ottawa, 2011 BASE Show details 20 Towards the Development of an Automatic Diacritizer for the Persian Orthography based on the Xerox Finite State Transducer Nojoumian, Peyman. - : Université d'Ottawa / University of Ottawa, 2011 BASE Show details Page: 1 2

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