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- aggregation classification "A2".
- aggregation creator person.
- aggregation creator person.
- aggregation date "2012".
- aggregation format "application/pdf".
- aggregation hasFormat 3029640.bibtex.
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- aggregation isPartOf urn:issn:1178-2226.
- aggregation language "eng".
- aggregation rights "I have retained and own the full copyright for this publication".
- aggregation subject "Languages and Literatures".
- aggregation title "Combining lexico-semantic features for emotion classification in suicide notes".
- aggregation abstract "This paper describes a system for automatic emotion classification, developed for the 2011 i2b2 Natural Language Processing Challenge, Track 2. The objective of the shared task was to label suicide notes with 15 relevant emotions on the sentence level. Our system uses 15 SVM models (one for each emotion) using the combination of features that was found to perform best on a given emotion. Features included lemmas and trigram bag of words, and information from semantic resources such as WordNet, SentiWordNet and subjectivity clues. The best-performing system labeled 7 of the 15 emotions and achieved an F-score of 53.31% on the test data.".
- aggregation authorList BK673789.
- aggregation endPage "128".
- aggregation issue "suppl. 1".
- aggregation startPage "125".
- aggregation volume "5".
- aggregation aggregates 3029642.
- aggregation isDescribedBy 3029640.
- aggregation similarTo BII.S8960.
- aggregation similarTo LU-3029640.