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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| 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 |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Open Access?: | ja |
| Linguistics-Classification: | Computerlinguistik |
| Licence (English): |  Creative Commons - Attribution-NonCommercial-ShareAlike 3.0 Unported |