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        <title>Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus</title>
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            <namePart type="given">Alexandra</namePart>
            <namePart type="family">Balahur</namePart>
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    <abstract>In this paper we present an annotated corpus created with the aim of analyzing the informative behaviour of emoji – an issue of importance for sentiment analysis and natural language processing. The corpus consists of 2475 tweets all containing at least one emoji, which has been annotated using one of the three possible classes: Redundant, Non Redundant, and Non Redundant + POS. We explain how the corpus was collected, describe the annotation procedure and the interface developed for the task. We provide an analysis of the corpus, considering also possible predictive features, discuss the problematic aspects of the annotation, and suggest future improvements.</abstract>
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%0 Conference Proceedings
%T Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus
%A Donato, Giulia
%A Paggio, Patrizia
%Y Balahur, Alexandra
%Y Mohammad, Saif M.
%Y van der Goot, Erik
%S Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F donato-paggio-2017-investigating
%X In this paper we present an annotated corpus created with the aim of analyzing the informative behaviour of emoji – an issue of importance for sentiment analysis and natural language processing. The corpus consists of 2475 tweets all containing at least one emoji, which has been annotated using one of the three possible classes: Redundant, Non Redundant, and Non Redundant + POS. We explain how the corpus was collected, describe the annotation procedure and the interface developed for the task. We provide an analysis of the corpus, considering also possible predictive features, discuss the problematic aspects of the annotation, and suggest future improvements.
%R 10.18653/v1/W17-5216
%U https://aclanthology.org/W17-5216
%U https://doi.org/10.18653/v1/W17-5216
%P 118-126

Markdown (Informal)

[Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus](https://aclanthology.org/W17-5216) (Donato & Paggio, WASSA 2017)

• Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus (Donato & Paggio, WASSA 2017)

ACL

• Giulia Donato and Patrizia Paggio. 2017. Investigating Redundancy in Emoji Use: Study on a Twitter Based Corpus. In Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, pages 118–126, Copenhagen, Denmark. Association for Computational Linguistics.