TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Schulder, Marc
A1  - Wiegand, Michael
A1  - Ruppenhofer, Josef
ED  - Calzolari, Nicoletta
ED  - Béchet, Frédéric
ED  - Blache, Philippe
ED  - Choukri, Khalid
ED  - Cieri, Christopher
ED  - Declerck, Thierry
ED  - Goggi, Sara
ED  - Isahara, Hitoshi
ED  - Maegaard, Bente
ED  - Mariani, Joseph
ED  - Mazo, Hélène
ED  - Moreno, Asuncion
ED  - Odijk, Jan
ED  - Piperidis, Stelios
T1  - Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions
T2  - Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), May 11-16, 2020, Palais du Pharo, Marseille, France
N2  - The sentiment polarity of an expression (whether it is perceived as positive, negative or neutral) can be influenced by a number of phenomena, foremost among them negation. Apart from closed-class negation words like no, not or without, negation can also be caused by so-called polarity shifters. These are content words, such as verbs, nouns or adjectives, that shift polarities in their opposite direction, e. g. abandoned in “abandoned hope” or alleviate in “alleviate pain”. Many polarity shifters can affect both positive and negative polar expressions, shifting them towards the opposing polarity. However, other shifters are restricted to a single shifting direction. Recoup shifts negative to positive in “recoup your losses”, but does not affect the positive polarity of fortune in “recoup a fortune”. Existing polarity shifter lexica only specify whether a word can, in general, cause shifting, but they do not specify when this is limited to one shifting direction. To address this issue we introduce a supervised classifier that determines the shifting direction of shifters. This classifier uses both resource-driven features, such as WordNet relations, and data-driven features like in-context polarity conflicts. Using this classifier we enhance the largest available polarity shifter lexicon.
KW  - Sentiment Analysis
KW  - Polarity Shifter
KW  - Negation
KW  - Lexical Semantics
KW  - Lexicon
KW  - Supervised Classification
KW  - Negativer Polaritätsausdruck
KW  - Polarität
KW  - Natürliche Sprache
KW  - Klassifikation
KW  - Maschinelles Lernen
KW  - Lexikalische Semantik
Y1  - 2020
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-98677
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:mh39-98677
UR  - http://www.lrec-conf.org/proceedings/lrec2020/index.html#5010
SN  - 979-10-95546-34-4
SB  - 979-10-95546-34-4
SP  - 5010
EP  - 5016
PB  - European Language Resources Association
CY  - Paris
ER  -