Automatic Construction of an Emoji Sentiment Lexicon
Abstract: Emojis play an important role in communication by expressing the sender’s emotions and sentiments. In this study, we propose an automatic method for constructing an emoji sentiment lexicon that can accommodate arbitrary sentiment categories. Experiments using Twitter posts demonstrate a strong correlation between the lexicon produced by our method and existing manually constructed lexicons. The constructed emoji lexicon is publicly available at the link below.
Authors: Mayu Kimura, Marie Katsurai
Publication venue: FAB 2017 (ASONAM 2017)
Reference
Mayu Kimura and Marie Katsurai. 2017. Automatic Construction of an Emoji Sentiment Lexicon. In Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (ASONAM ’17). Association for Computing Machinery, New York, NY, USA, 1033–1036. https://doi.org/10.1145/3110025.3110139