Abstract
Emojis allow us to describe objects, situations and even feelings with small images, providing a visual and quick way to communicate. In this paper, we analyse emojis used in Twitter with distributional semantic models. We retrieve 10 millions tweets posted by USA users, and we build several skip gram word embedding models by mapping in the same vectorial space both words and emojis. We test our models with semantic similarity experiments, comparing the output of our models with human assessment. We also carry out an exhaustive qualitative evaluation, showing interesting results.- Anthology ID:
- L16-1626
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 3967–3972
- Language:
- URL:
- https://aclanthology.org/L16-1626
- DOI:
- Cite (ACL):
- Francesco Barbieri, Francesco Ronzano, and Horacio Saggion. 2016. What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3967–3972, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis (Barbieri et al., LREC 2016)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/L16-1626.pdf