Free tools to analyze emotions
Free tools to analyze emotions
MixedEmotionsToolkit is a set of freely available tools that puts the analysis of emotions within the reach of any researcher or developer. This toolbox is the result of MixedEmotions, a research project in which the Polytechnic University of Madrid (UPM) (Spain) has participated in a consortium with companies, universities and research centers from different European countries- and includes functionalities for processing of text, audio and video with the aim of recognizing emotions in an automated way.
Emotions are an essential part of our existence. Our actions are affected both by our state of mind, and by the state we perceive in others. Therefore, it is not surprising the growing demand for automated analysis of emotions in different fields. The applications of this technology are very varied, including call centers, intelligent environments, online reputation analysis and assistive technologies. However, there are several barriers in the adoption of these technologies.
On the one hand, the analysis tools can be quite complex. Sometimes the detection of emotions requires some previous analysis, such as the detection of age and gender in audio, or facial recognition in video. The analysis also needs a series of prior knowledge and linguistic resources, which are not always public. Finally, the tools provided are usually designed for a specific language, usually English. Adapting the tools to other languages is an arduous task, which requires the existence of specific resources in that language. The combination of these problems means that the range of freely available tools is quite limited.
Expanding this set of tools has been, precisely, the objective of the MixedEmotions project, a project financed by the Horizon 2020 program in which the Intelligent Systems Group (GSI) of the UPM has participated. The tools developed are adapted to several European languages, in an attempt to recognize the multicultural and plurilingual panorama of current technology.
The demand for automated emotions analysis, such as that offered by MixedEmotions, continues to grow in different fields. (Photo: MixedEmotions Project)
To demonstrate the usefulness of the tools, they have been applied in three different scenarios: an application for intelligent TV that uses emotions to recommend content; a call center monitoring system, which monitors the mood and the reaction of customers in each call, and an online reputation analysis system for companies, which allows to study the opinion and responses of the public to specific companies or products.
The GSI group has made various contributions to the project. In the first place, he has led the modeling of linked data for services and the creation of semantic vocabularies. As a result, all project tools use this type of vocabulary and are based on the principles of linked data. This allows them to be interoperable, since analyzes are performed in several modalities using fusion techniques.
"Given the importance of this issue," says Fernando Sánchez, one of the GSI researchers who has participated in the project, we created a community group in the World Wide Web Consortium (W3C) -an international community that develops standards that ensure the growth of the long-term Web- to discuss this semantic modeling and disseminate the results ".
Secondly, the group has developed a software, called Senpy, that facilitates the creation and publication of services and tools for analyzing emotions, centered above all on text analysis. Finally, the group has studied the improvement of the analysis of feelings through the use of social context, that is, additional information about the user, the content, and the different relationships in the networks. The result of this study is the creation of the Scaner tool, which allows the extraction and analysis of the social context of users and content on Twitter.
In addition to the UPM, this project has involved partners from Ireland (National University of Ireland Galway and Siren Solutions), Germany (Deutsche Welle and University of Passau), Spain (Digital Paradigm), Italy (Expert Systems) and the Czech Republic ( Phonexia and Brno University of Technology). (Source: Universidad Politécnica de Madrid)
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