Classifying the Informative Behaviour of Emoji in Microblogs

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Classifying the Informative Behaviour of Emoji in Microblogs. / Donato, Giulia; Paggio, Patrizia.

Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki : European Language Resources Association, 2018.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Donato, G & Paggio, P 2018, Classifying the Informative Behaviour of Emoji in Microblogs. i Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association, Miyazaki. <http://www.lrec-conf.org/proceedings/lrec2018/pdf/253.pdf>

APA

Donato, G., & Paggio, P. (2018). Classifying the Informative Behaviour of Emoji in Microblogs. I Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) European Language Resources Association. http://www.lrec-conf.org/proceedings/lrec2018/pdf/253.pdf

Vancouver

Donato G, Paggio P. Classifying the Informative Behaviour of Emoji in Microblogs. I Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki: European Language Resources Association. 2018

Author

Donato, Giulia ; Paggio, Patrizia. / Classifying the Informative Behaviour of Emoji in Microblogs. Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018). Miyazaki : European Language Resources Association, 2018.

Bibtex

@inproceedings{18a97283c79041cd991e51606046b256,
title = "Classifying the Informative Behaviour of Emoji in Microblogs",
abstract = "Emoji are pictographs commonly used in microblogs as emotion markers, but they can also represent a much wider range of concepts. Additionally, they may occur in different positions within a message (e.g. a tweet), appear in sequences or act as word substitute. Emoji must be considered necessary elements in the analysis and processing of user generated content, since they can either provide fundamental syntactic information, emphasize what is already expressed in the text, or carry meaning that cannot be inferred from the words alone. We collected and annotated a corpus of 2475 tweets pairs with the aim of analyzing and then classifying emoji use with respect to redundancy. The best classification model achieved an F-score of 0.7. In this paper we shortly present the corpus, and we describe the classification experiments, explain the predictive features adopted, discuss the problematic aspects of our approach and suggest future improvements.",
author = "Giulia Donato and Patrizia Paggio",
year = "2018",
language = "English",
booktitle = "Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)",
publisher = "European Language Resources Association",

}

RIS

TY - GEN

T1 - Classifying the Informative Behaviour of Emoji in Microblogs

AU - Donato, Giulia

AU - Paggio, Patrizia

PY - 2018

Y1 - 2018

N2 - Emoji are pictographs commonly used in microblogs as emotion markers, but they can also represent a much wider range of concepts. Additionally, they may occur in different positions within a message (e.g. a tweet), appear in sequences or act as word substitute. Emoji must be considered necessary elements in the analysis and processing of user generated content, since they can either provide fundamental syntactic information, emphasize what is already expressed in the text, or carry meaning that cannot be inferred from the words alone. We collected and annotated a corpus of 2475 tweets pairs with the aim of analyzing and then classifying emoji use with respect to redundancy. The best classification model achieved an F-score of 0.7. In this paper we shortly present the corpus, and we describe the classification experiments, explain the predictive features adopted, discuss the problematic aspects of our approach and suggest future improvements.

AB - Emoji are pictographs commonly used in microblogs as emotion markers, but they can also represent a much wider range of concepts. Additionally, they may occur in different positions within a message (e.g. a tweet), appear in sequences or act as word substitute. Emoji must be considered necessary elements in the analysis and processing of user generated content, since they can either provide fundamental syntactic information, emphasize what is already expressed in the text, or carry meaning that cannot be inferred from the words alone. We collected and annotated a corpus of 2475 tweets pairs with the aim of analyzing and then classifying emoji use with respect to redundancy. The best classification model achieved an F-score of 0.7. In this paper we shortly present the corpus, and we describe the classification experiments, explain the predictive features adopted, discuss the problematic aspects of our approach and suggest future improvements.

UR - http://www.lrec-conf.org/proceedings/lrec2018/pdf/253.pdf

M3 - Article in proceedings

BT - Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

PB - European Language Resources Association

CY - Miyazaki

ER -

ID: 209459431