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Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach

  • We explore the feasibility of contextual healthiness classification of food items. We present a detailed analysis of the linguistic phenomena that need to be taken into consideration for this task based on a specially annotated corpus extracted from web forum entries. For automatic classification, we compare a supervised classifier and rule-based classification. Beyond linguistically motivated features that include sentiment information we also consider the prior healthiness of food items.

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Metadaten
Author:Michael WiegandGND, Dietrich Klakow
URN:urn:nbn:de:bsz:mh39-85012
URL:https://aclanthology.info/papers/I13-1003/i13-1003
ISBN:978-4-9907348-0-0
Parent Title (English):Proceedings of the Sixth International Joint Conference on Natural Language Processing, October 14-18, 2013, Nagoya, Japan
Publisher:Asian Federation of Natural Language Processing
Place of publication:Nagoya
Document Type:Conference Proceeding
Language:English
Year of first Publication:2013
Date of Publication (online):2019/02/20
Publicationstate:Zweitveröffentlichung
Reviewstate:Peer-Review
GND Keyword:Computerlinguistik; Information Extraction; Lebensmittel; Maschinelles Lernen; Natürliche Sprache
First Page:19
Last Page:27
Dewey Decimal Classification:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Computerlinguistik
Licence (English):License LogoCreative Commons - Attribution-NonCommercial-ShareAlike 3.0 Unported