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Authors: Guillaume Gadek 1 ; Josefin Betsholtz 2 ; Alexandre Pauchet 3 ; Stéphan Brunessaux 2 ; Nicolas Malandain 3 and Laurent Vercouter 3

Affiliations: 1 Airbus DS, Normandie Univ, INSA Rouen and LITIS, France ; 2 Airbus DS, France ; 3 Normandie Univ, INSA Rouen and LITIS, France

ISBN: 978-989-758-220-2

Keyword(s): Opinion Mining, Context, Contextonyms, Sentiment Analysis, Social Media Data, User Generated Text.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Methodologies and Methods ; Natural Language Processing ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Symbolic Systems

Abstract: Opinion mining on tweets is a challenge: short texts, implicit topics, inventive spellings and new vocabulary are the rule. We aim at efficiently determining the stance of tweets towards a given target. We propose a method using the concept of contextonyms and contextosets in order to disambiguate implicit content and improve a given stance classifier. Contextonymy is extracted from a word co-occurrence graph, and allows to grasp the sense of a word according to its surrounding words. We evaluate our method on a freely available annotated tweet corpus, used to benchmark stance detection on tweets during SemEval2016.

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Paper citation in several formats:
Gadek G., Betsholtz J., Pauchet A., Brunessaux S., Malandain N. and Vercouter L. (2017). Extracting Contextonyms from Twitter for Stance Detection.In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-220-2, pages 132-141. DOI: 10.5220/0006190901320141

@conference{icaart17,
author={Guillaume Gadek and Josefin Betsholtz and Alexandre Pauchet and Stéphan Brunessaux and Nicolas Malandain and Laurent Vercouter},
title={Extracting Contextonyms from Twitter for Stance Detection},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2017},
pages={132-141},
publisher={ScitePress},
organization={INSTICC},
doi={10.5220/0006190901320141},
isbn={978-989-758-220-2},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Extracting Contextonyms from Twitter for Stance Detection
SN - 978-989-758-220-2
AU - Gadek G.
AU - Betsholtz J.
AU - Pauchet A.
AU - Brunessaux S.
AU - Malandain N.
AU - Vercouter L.
PY - 2017
SP - 132
EP - 141
DO - 10.5220/0006190901320141

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