TY - GEN
T1 - Detect negative event for depression tendency from web blogs
AU - Tung, Chia Ming
AU - Lu, Wen Hsiang
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2014.
PY - 2014
Y1 - 2014
N2 - Many negative events happened in short period of time would trigger depressive disorder. We categorized these negative events into four groups, which are Family, Study, Jobs, and Affection. In this paper, we try to identify negative event in the web blog posts through proposed Enhanced Event Extraction method that includes Enhanced Lexicon Feature, POS pattern, and event-emotion pair. Term frequency and length had been used to calculate importance score for a long negative term in Enhanced Lexicon Feature. In POS pattern, we combined multiple POS term as negative event pattern, such VC+Nh, VC+Na, P+VC. We also consider about the distance between event terms and emotion terms. If emotion terms could be labeled in a post, we could use distance relationship to find event around emotion term. Experimental results show that the accuracy rate of Enhanced Event Extraction method is 54.9%.
AB - Many negative events happened in short period of time would trigger depressive disorder. We categorized these negative events into four groups, which are Family, Study, Jobs, and Affection. In this paper, we try to identify negative event in the web blog posts through proposed Enhanced Event Extraction method that includes Enhanced Lexicon Feature, POS pattern, and event-emotion pair. Term frequency and length had been used to calculate importance score for a long negative term in Enhanced Lexicon Feature. In POS pattern, we combined multiple POS term as negative event pattern, such VC+Nh, VC+Na, P+VC. We also consider about the distance between event terms and emotion terms. If emotion terms could be labeled in a post, we could use distance relationship to find event around emotion term. Experimental results show that the accuracy rate of Enhanced Event Extraction method is 54.9%.
UR - http://www.scopus.com/inward/record.url?scp=84928255652&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-02913-9_206
DO - 10.1007/978-3-319-02913-9_206
M3 - Conference contribution
AN - SCOPUS:84928255652
T3 - IFMBE Proceedings
SP - 801
EP - 804
BT - The 15th International Conference on Biomedical Engineering, ICBME 2013
A2 - Goh, James
PB - Springer Verlag
T2 - 15th International Conference on Biomedical Engineering, ICBME 2013
Y2 - 4 December 2013 through 7 December 2013
ER -