Article Title,Year,Volume,Issue,Page Range,Author
Suicide Note Classification Using Natural Language Processing: A Content Analysis,2010,2010,3,19-28,Leenaars
Sentiment Analysis of Suicide Notes: A Shared Task,2012,5,Suppl 1,3-16,Matykiewicz
Statistical and similarity methods for classifying emotion in suicide notes,2012,5,Suppl 1,195-204,Roberts
Rule-based and lightly supervised methods to predict emotions in suicide notes,2012,5,Suppl 1,185-193,Pedersen
Three hybrid classifiers for the detection of emotions in suicide notes,2012,5,Suppl 1,175-184,Liakata
A hybrid system for emotion extraction from suicide notes,2012,5,Suppl 1,165-174,Nikfarjam
Leveraging psycholinguistic resources and emotional sequence models for suicide note emotion annotation,2012,5,Suppl 1,155-163,Yeh
Binary classifiers and latent sequence models for emotion detection in suicide notes,2012,5,Suppl 1,147-154,Cherry
Discovering fine-grained sentiment in suicide notes,2012,5,Suppl 1,137-145,Wang
Combining lexico-semantic features for emotion classification in suicide notes,2012,5,Suppl 1,125-128,Desmet
Topic categorisation of statements in suicide notes with integrated rules and machine learning,2012,5,Suppl 1,115-124,Kovačević
A combined approach to emotion detection in suicide notes,2012,5,Suppl 1,105-114,Pak
Labeling emotions in suicide notes: cost-sensitive learning with heterogeneous features,2012,5,Suppl 1,99-103,Read
A naïve Bayes approach to classifying topics in suicide notes,2012,5,Suppl 1,87-97,Arribas-Ayllon
Using ensemble models to classify the sentiment expressed in suicide notes,2012,5,Suppl 1,77-85,Lind
LASSA: emotion detection via information fusion,2012,5,Suppl 1,71-76,Yu
Fine-grained emotion detection in suicide notes: a thresholding approach to multi-label classification,2012,5,Suppl 1,61-69,Luyckx
Emotion detection in suicide notes using maximum entropy classification,2012,5,Suppl 1,51-60,Wicentowski
A hybrid approach to sentiment sentence classification in suicide notes,2012,5,Suppl 1,43-50,Sohn
Suicide note sentiment classification: a supervised approach augmented by web data,2012,5,Suppl 1,31-41,Chang
A hybrid model for automatic emotion recognition in suicide notes,2012,5,Suppl 1,17-30,Yang
What's in a note: construction of a suicide note corpus,2012,5,online,1-6,Matykiewicz
Mining health-related issues in consumer product reviews by using scalable text analytics,2016,8,Suppl 1,1-11,Fan
Humanizing digital mental health through social media: centering experiences of gang-involved youth exposed to high rates of violence,2018,10,,e1178222618797076,Frey
Natural language processing of social media as screening for suicide risk,2018,10,,e1178222618792860,Coppersmith