TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Ruppenhofer, Josef
A1  - Brandes, Jasper
ED  - Calzolari, Nicoletta
ED  - Choukri, Khalid
ED  - Declerck, Thierry
ED  - Grobelnik, Marko
ED  - Maegaard, Bente
ED  - Mariani, Joseph
T1  - Effect Functors for Opinion Inference
T2  - Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)
N2  - Sentiment analysis has so far focused on the detection of explicit opinions. However, of late implicit opinions have received broader attention, the key idea being that the evaluation of an event type by a speaker depends on how the participants in the event are valued and how the event itself affects the participants. We present an annotation scheme for adding relevant information, couched in terms of so-called effect functors, to German lexical items. Our scheme synthesizes and extends previous proposals. We report on an inter-annotator agreement study. We also present results of a crowdsourcing experiment to test the utility of some known and some new functors for opinion inference where, unlike in previous work, subjects are asked to reason from event evaluation to participant evaluation.
KW  - Semantics
KW  - Opinion Mining
KW  - Sentiment Analysis
KW  - Lexicon
KW  - Lexical Database
KW  - Opinion Inference
KW  - Effects
KW  - Subjectivity
Y1  - 2016
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-55002
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-55002
UR  - http://www.lrec-conf.org/proceedings/lrec2016/summaries/832
SN  - 978-2-9517408-9-1
SB  - 978-2-9517408-9-1
SP  - 2879
EP  - 2887
PB  - European Language Resources Association (ELRA)
CY  - Paris
ER  -