Emotion Detection in Suicide Notes using Maximum Entropy Classification:

Biomedical Informatics Insights

RichardWicentowski¹ 

关键词: natural language processing;    text analysis;    emotion classification;    suicide notes;   

DOI  :  10.4137/BII.S8972

学科分类：医学（综合）

来源: Sage Journals

【 摘 要 】

An ensemble of supervised maximum entropy classifiers can accurately detect and identify sentiments expressed in suicide notes. Using lexical and syntactic features extracted from a training set of externally annotated suicide notes, we trained separate classifiers for each of fifteen pre-specified emotions. This formed part of the 2011 i2b2 NLP Shared Task, Track 2. The precision and recall of these classifiers related strongly with the number of occurrences of each emotion in the training data. Evaluating on previously unseen test data, our best system achieved an F1 score of 0.534.

【 授权许可】

CC BY