Browsing Data Science Institute by Author "Sánchez-Rada, J. Fernando"
Now showing items 1-3 of 3
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MixedEmotions: An open-source toolbox for multi-modal emotion analysis
Buitelaar, Paul; Wood, Ian D.; Negi, Sapna; Arcan, Mihael; McCrae, John P.; Abele, Andrejs; Robin, Cécile; Andryushechkin, Vladimir; Ziad, Housam; Sagha, Hesam; Schmitt, Maximilian; Schuller, Björn W.; Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Navarro, Carlos; Giefer, Andreas; Heise, Nicolaus; Masucci, Vincenzo; Danza, Francesco A.; Caterino, Ciro; Smrž, Pavel; Hradiš, Michal; Povolný, Filip; Klimeš, Marek; Matějka, Pavel; Tummarello, Giovanni (IEEE, 2018-01-25)Recently, there is an increasing tendency to embed the functionality of recognizing emotions from the user generated contents, to infer richer profile about the users or contents, that can be used for various automated ... -
Multimodal multimodel emotion analysis as linked data
Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Sagha, Hesam; Schuller, Björn; Ian D. Wood, Ian D.; Buitelaar, Paul (IEEE, 2017-10-23)The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting ... -
Multimodal multimodel emotion analysis as linked data
Sánchez-Rada, J. Fernando; Iglesias, Carlos A.; Sagha, Hesam; Schuller, Björn; Wood, Ian; Buitelaar, Paul (IEEE, 2018-02-01)The lack of a standard emotion representation model hinders emotion analysis due to the incompatibility of annotation formats and models from different sources, tools and annotation services. This is also a limiting factor ...