We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:

 

 Artificial Intelligence

 Nonlinear Time Series Analysis

 Web Research 

 

 Music Technology

 Interactive  Technologies

 Barcelona MedTech

 Natural Language  Processing

 Nonlinear Time Series  Analysis

UbicaLab

Wireless Networking

Educational Technologies

GitHub

 

 

Back Barbieri F, Ronzano F, Saggion H. What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis. Proceedings of the Language Resource and Evaluation Conference 2016 (in press)

 

Barbieri F, Ronzano F, Saggion H. What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis. Proceedings of the Language Resource and Evaluation Conference 2016 (in press)

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

Keywords: Emojis, Social Networks, Embeddings

 

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