Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations
Klinger, Roman; Cimiano, Philipp (2013): Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations, in: ICDMW ’13: Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops, IEEE, S. 937–944, doi: 10.1109/ICDMW.2013.13.
Faculty/Chair:
Author:
 ; 
Title of the compilation:
ICDMW '13: Proceedings of the 2013 IEEE 13th International Conference on Data Mining Workshops
Conference:
13th International Conference on Data Mining Workshops ; Dallas, TX, USA
Publisher Information:
Year of publication:
2013
Pages:
ISBN:
978-1-4799-3142-2
Language:
English
DOI:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
URI:
Activation date:
March 13, 2024

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Permalink https://fis.uni-bamberg.de/handle/uniba/94003