TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Wiegand, Michael
ED  - Griesbaum, Joachim
ED  - Heuwing, Ben
ED  - Ruppenhofer, Josef
ED  - Werner, Katrin
T1  - Predicate Acquisition for Opinion Holder Extraction. A Data-Intensive Approach
T2  - Proceedings des 8. Hildesheimer Evaluierungs- und Retrievalworkshop (HiER 2013), Hildesheim, 25.-26. April 2013
N2  - Opinion holder extraction is one of the most important tasks in sentiment analysis. We will briefly outline the importance of predicates for this task and categorize them according to part of speech and according to which semantic role they select for the opinion holder. For many languages there do not exist semantic resources from which such predicates can be easily extracted. Therefore, we present alternative corpus-based methods to gain such predicates automatically, including the usage of prototypical opinion holders, i.e. common nouns, denoting for example experts or analysts, which describe particular groups of people whose profession or occupation is to form and express opinions towards specific items.
KW  - Sentimentanalyse
KW  - Opinion Mining
KW  - Information Extraction
KW  - Computerlinguistik
KW  - Natürliche Sprache
KW  - Text Mining
Y1  - 2013
U6  - https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-1929
UN  - https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-1929
SP  - 41
EP  - 50
PB  - Institut für Informationswissenschaft und Sprachtechnologie, Universität Hildesheim
CY  - Hildesheim
ER  -