We have relevant datasets, repositories, frameworks and tools of relevance for research and technology transfer initiatives related to knowledge extraction. This section provides an overview on a selection of them and links to download or contact details.

The MdM Strategic Research Program has its own community in Zenodo for material available in this repository  as well as at the UPF e-repository  . Below a non-exhaustive list of datasets representative of the research in the Department.

As part of the promotion of the availability of resources, the creation of specific communities in Zenodo has also been promoted, at level of research communities (for instance, MIR and Educational Data Analytics) or MSc programs (for instance, the Master in Sound and Music Computing)

 

 

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

 

Additional material:

News:

Link: http://sempub.taln.upf.edu/tw/emojis/Barbieri__What_does_this_emoji_mean_LREC2016.pdf

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