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Automatic Identification of Suicide Notes from Linguistic and Sentiment Features

Annika Marie Schoene, Nina Dethlefs
2016 Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities  
In this paper, we investigate whether it is possible to automatically identify suicide notes and discern them from other types of online discourse based on analysis of sentiments and linguistic features  ...  Psychological studies have shown that our state of mind can manifest itself in the linguistic features we use to communicate.  ...  Discussion of Sentiment Features Apart from the overall classification accuracy, we were interested in the contribution of the individ-ual sentiment and linguistic feature sets.  ... 
doi:10.18653/v1/w16-2116 dblp:conf/latech/SchoeneD16 fatcat:u6po5k5ggrcdlovzjutismze3y

Automatic identification of suicide notes with a transformer-based deep learning model

Tianlin Zhang, Annika M. Schoene, Sophia Ananiadou
2021 Internet Interventions  
Therefore, designing a learning model that can aid the detection of suicide notes online is of great importance. However, current methods cannot capture both local and global semantic features.  ...  We evaluate our model with baseline approaches on a dataset collected from online sources (including 659 suicide notes, 431 last statements, and 2000 neutral posts).  ...  Acknowledgements This research was funded by the National Centre for Text Mining and MRC grant MR/R022461/1.  ... 
doi:10.1016/j.invent.2021.100422 fatcat:7wo5iqsrhrfjtldlgcyucn2eda

Linguistic Features and Psychological States: The Case of Virginia Woolf

Xiaowei Du
2022 Frontiers in Psychology  
This study investigated the relation between psychological states and linguistic features with the case of Virginia Woolf.  ...  We analyzed the data from The Diary of Virginia Woolf and Virginia Woolf: Biography by automatic text analysis and statistical analysis, including stepwise multiple regression and Deep Learning algorithm  ...  For example, Boukil et al. (2019) proposed an automatic system based on Deep learning algorithm to predict suicidal ideation through analyzing sentiment and feelings expressed on social media.  ... 
doi:10.3389/fpsyg.2022.823313 pmid:35369197 pmcid:PMC8967367 fatcat:6isal4buujdadfz6psenw5lh3a

Using general-purpose sentiment lexicons for suicide risk assessment in electronic health records: corpus-based analysis (Preprint)

André Bittar, Sumithra Velupillai, Angus Roberts, Rina Dutta
2020 JMIR Medical Informatics  
Several recent studies have used general-purpose sentiment analysis tools to automatically identify negative and positive words within EHRs to test correlations between sentiment extracted from the texts  ...  The data for this study were a corpus of 198,451 EHR texts made up of two subcorpora drawn from a 1:4 case-control study comparing clinical notes written over the period leading up to a suicide attempt  ...  Acknowledgments The authors wish to thank Jefrey Lijffijt and Paul Rayson for their advice on corpus linguistics and James Pennebaker for permission to use the LIWC lexicon.  ... 
doi:10.2196/22397 pmid:33847595 fatcat:6mxxj7bb2fgjrjskzkvuvtmrie

Association for Computational Linguistics [chapter]

G. Hirst
2006 Encyclopedia of Language & Linguistics  
We also appreciate and give a special thanks to the support from the Association for Computational Linguistics (ACL). We hope you enjoy reading the memories of the Workshop!  ...  The lecturers have been invited to write papers on all aspects of computational approaches to Natural Language Processing. The papers received have been revised and prepared to compose this issue.  ...  For example, how do people express their intent to commit suicide? The use of machine learning techniques and sentiment analysis techniques for the automatic analysis of suicide notes is not new.  ... 
doi:10.1016/b0-08-044854-2/05234-2 fatcat:bbncnskzhvhxtbfdk5ftli7gva

A Hybrid Model for Automatic Emotion Recognition in Suicide Notes

Hui Yang, Alistair Willis, Anne De Roeck, Bashar Nuseibeh
2012 Biomedical Informatics Insights  
This Shared Task focused on the development of automatic systems that identify, at the sentence level, affective text of 15 specific emotions from suicide notes.  ...  We describe the Open University team's submission to the 2011 i2b2/VA/Cincinnati Medical Natural Language Processing Challenge, Track 2 Shared Task for sentiment analysis in suicide notes.  ...  , authorship and contributorship, and compliance with ethical requirements in respect to treatment of human and animal test subjects.  ... 
doi:10.4137/bii.s8948 pmid:22879757 pmcid:PMC3409477 fatcat:lfvhzgp4ija2tcpqcwow4a2fpm

Revealing semantic and emotional structure of suicide notes with cognitive network science [article]

Andreia Sofia Teixeira, Szymon Talaga, Trevor James Swanson, Massimo Stella
2021 arXiv   pre-print
This work gives structure to the linguistic content of suicide notes, revealing interconnections between cognitive and emotional states of people who committed suicide.  ...  These suicide notes are of utmost importance for better understanding the psychology of suicidal ideation.  ...  Siew, Benjamin Ortiz Ulloa and Narges Chinichian for valuable discussion. This work was supported by FCT, Fundação para a Ciência e a Tecnologia, under project UIDB/50021/2020.  ... 
arXiv:2007.12053v3 fatcat:ig634td4i5ftndaolyjxtftiey

Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications [article]

Shaoxiong Ji and Shirui Pan and Xue Li and Erik Cambria and Guodong Long and Zi Huang
2020 arXiv   pre-print
Domain-specific applications of suicidal ideation detection are also reviewed according to their data sources, i.e., questionnaires, electronic health records, suicide notes, and online user content.  ...  Suicide is a critical issue in modern society. Early detection and prevention of suicide attempts should be addressed to save people's life.  ...  Schoene and Dethlefs [85] extracted linguistic and sentiment features to identity genuine suicide notes and comparison corpus. D.  ... 
arXiv:1910.12611v2 fatcat:63z4uvh5zrgyzb2bawtlbuo34m

Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks [article]

Shaoxiong Ji, Xue Li, Zi Huang, Erik Cambria
2021 arXiv   pre-print
Early detection of mental disorders and suicidal ideation from social content provides a potential way for effective social intervention.  ...  However, classifying suicidal ideation and other mental disorders is challenging as they share similar patterns in language usage and sentimental polarity.  ...  Acknowledgments The authors would like to thank Philip Resnik for providing the UMD Reddit Suicidality Dataset and Mark Dredze for providing the dataset in the CLPsych 2015 shared task.  ... 
arXiv:2004.07601v3 fatcat:amgogcdh75hshhg6klv25lqzdu

Creating a Chinese suicide dictionary for identifying suicide risk on social media

Meizhen Lv, Ang Li, Tianli Liu, Tingshao Zhu
2015 PeerJ  
First, we made a comparison of the performance in both detecting suicidal expression in Weibo posts and evaluating individual levels of suicide risk between the dictionary-based identifications and the  ...  Chinese suicide dictionary and the Simplified Chinese Linguistic Inquiry and Word Count (SCLIWC) program, respectively.  ...  Pestian et al. (2012) run a sentiment analysis on suicide notes using the Linguistic Inquiry and Word Count (LIWC) program (Pennebaker et al., 2007) .  ... 
doi:10.7717/peerj.1455 pmid:26713232 pmcid:PMC4690390 fatcat:o3rjqhzsy5aafarxyxkwbx5u2y

Predicting Mental Health Problems with Automatic Identification of Metaphors

Nan Shi, Dongyu Zhang, Lulu Li, Shengjun Xu
2021 Journal of Healthcare Engineering  
We perform experiments on a composition dataset collected from second-language students and on the eRisk2017 dataset collected from Social Media.  ...  Previous psycholinguistic and psychiatry research has suggested that the use of metaphors in texts is linked to the mental health status of the authors.  ...  , as a deep, complex, and cognitive feature for mental health identification, which often focuses on shallow linguistic features.  ... 
doi:10.1155/2021/5582714 pmid:34012545 pmcid:PMC8105119 fatcat:nwnq7avg3bco5cxaf4z3s4amgu

Suicide Risk Assessment Using Machine Learning and Social Networks: a Scoping Review

Gema Castillo-Sánchez, Gonçalo Marques, Enrique Dorronzoro, Octavio Rivera-Romero, Manuel Franco-Martín, Isabel De la Torre-Díez
2020 Journal of medical systems  
In total, 50% of the included studies (8/16) report explicitly the use of data mining techniques for feature extraction, feature detection or entity identification.  ...  Moreover, suicide is the second cause of unnatural death in people between 15 and 29 years.  ...  Thanks to the research grants from Senacyt, Panama. ED receives funding and is supported by the V Plan Propio de Investigación de la Universidad de Sevilla, Spain.  ... 
doi:10.1007/s10916-020-01669-5 pmid:33165729 pmcid:PMC7649702 fatcat:qlh2eii53jawrdkm42lk7ut3ja

SIAS: Suicidal Intentions Alerting System

Georgios Domalis, Christos Makris, Pantelis Vikatos, Anastasios Papathanasiou, Efterpi Paraskevoulakou, Manos Sfakianakis
2017 Proceedings of the 13th International Conference on Web Information Systems and Technologies  
The model uses linguistic features which are derived from an analysis of handwritten and electronic messages/notes.  ...  The model was trained and validated with fully anonymised real data provided by the Cyber Crime Division of Greek Police as well as available suicidal notes from social media.  ...  Furthermore, we added suicidal notes from two social media Tumblr 3 and Whisper 4 .  ... 
doi:10.5220/0006297402910297 dblp:conf/webist/DomalisMVPPS17 fatcat:mxrwwmejvvgopi6rdets3att6m

Detecting Critical Responses from Deliberate Self-harm Videos on YouTube

Muhammad Abubakar Alhassan, Diane Pennington
2020 Proceedings of the 2020 Conference on Human Information Interaction and Retrieval  
Using current state-of-the-art classifiers, we propose a model enriched with psycho-linguistic and sentiment features that can detect critical comments in need of urgent support.  ...  Due to a large amount of responses generated from these videos, it is very challenging for social media teams to respond to a vulnerable commentator who is at risk.  ...  This corresponds to the high negative sentiments found in suicide notes [19] . Another important feature that reflect who we are is the language we use in our writings.  ... 
doi:10.1145/3343413.3378002 dblp:conf/chiir/AlhassanP20 fatcat:6imgjb4swjbhplmh4kqfhellp4

Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons [article]

Xiaolei Huang, Lei Zhang, Tianli Liu, David Chiu, Tingshao Zhu, Xin Li
2014 arXiv   pre-print
Currently, we have identified 53 known suicidal cases who posted suicide notes on Weibo prior to their deaths.We explore linguistic features of these known cases using a psychological lexicon dictionary  ...  It would therefore be desirable to detect suicidal ideations from microblogs in real-time, and immediately alert appropriate support groups, which may lead to successful prevention.  ...  With the help of linguistic dictionaries, we are able to extract a set of features from those basic attributes as the first step, such as keywords, negations, negative emotions, and so on.  ... 
arXiv:1411.0778v1 fatcat:t5mtn36w5nbdtcq6tku3wtexnu
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