Enhancing a Lexicon of Polarity Shifters through the Supervised Classification of Shifting Directions
- 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.
Author: | Marc SchulderGND, Michael WiegandGND, Josef RuppenhoferGND |
---|---|
URN: | urn:nbn:de:bsz:mh39-98677 |
URL: | http://www.lrec-conf.org/proceedings/lrec2020/index.html#5010 |
ISBN: | 979-10-95546-34-4 |
Parent Title (English): | Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC), May 11-16, 2020, Palais du Pharo, Marseille, France |
Publisher: | European Language Resources Association |
Place of publication: | Paris |
Editor: | Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis |
Document Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2020 |
Date of Publication (online): | 2020/06/01 |
Publicationstate: | Zweitveröffentlichung |
Reviewstate: | Peer-Review |
Tag: | Lexical Semantics; Lexicon; Negation; Polarity Shifter; Sentiment Analysis; Supervised Classification |
GND Keyword: | Klassifikation; Lexikalische Semantik; Maschinelles Lernen; Natürliche Sprache; Negativer Polaritätsausdruck; Polarität |
First Page: | 5010 |
Last Page: | 5016 |
DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
Open Access?: | ja |
Leibniz-Classification: | Sprache, Linguistik |
Linguistics-Classification: | Computerlinguistik |
Linguistics-Classification: | Korpuslinguistik |
Program areas: | P2: Mündliche Korpora |
Licence (English): | Creative Commons - Attribution-NonCommercial 4.0 International |