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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis WASSA 2017 |
| Antal sider | 9 |
| Udgivelsessted | Stroudsburg, PA |
| Forlag | Association for Computational Linguistics |
| Publikationsdato | 2017 |
| Sider | 118-126 |
| ISBN (Trykt) | 978-1-945626-95-1 |
| Status | Udgivet - 2017 |
| Begivenhed | 8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis - Copenhagen, Danmark Varighed: 8 sep. 2017 → 8 sep. 2017 http://WASSA 2017 |
Konference
| Konference | 8th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis |
|---|---|
| Land/Område | Danmark |
| By | Copenhagen |
| Periode | 08/09/2017 → 08/09/2017 |
| Internetadresse |