@article{ref1,
title="LASSA: emotion detection via information fusion",
journal="Biomedical informatics insights",
year="2012",
author="Yu, Ning and Kübler, Sandra and Herring, Joshua and Hsu, Yu-Yin and Israel, Ross and Smiley, Charese",
volume="5",
number="Suppl 1",
pages="71-76",
abstract="Due to the complexity of emotions in suicide notes and the subtle nature of sentiments, this study proposes a fusion approach to tackle the challenge of sentiment classification in suicide notes: Leveraging WordNet-based lexicons, manually created rules, character-based n-grams, and other linguistic features. Although our results are not satisfying, some valuable lessons are learned and promising future directions are identified.<p /> <p>Language: en</p>",
language="en",
issn="1178-2226",
doi="10.4137/BII.S8949",
url="http://dx.doi.org/10.4137/BII.S8949"
}