Graphical User Interface (GUI) providing interpretation of the data analyzed. Figure \[isv2018:fig:arch\] describes the architecture. Its main features are the following:

-   Monitoring and automatic analysis: Definition of the domain/topic by means of term taxonomies. Continuous monitoring of various mention sources including social media and digital press.

-   Multilingual extraction of mentions and opinions relevant to the topics monitored, by means of Natural Language Processing (NLP) techniques.

-   Result exploration: Intuitive GUI to visualize and analyse the results. Advanced statistics and filters, such as per language results, impact of the topics or author statistics.

-   Control of the monitoring process through the user interface: update search terms or review and correct gathered mentions.

![image](architecture_talaia.eps){width="60.00000%"}

This paper focuses on those processes monitoring user satisfaction with respect to a topic, and that is why we pay special attention to the Sentiment Analysis (SA) module. Nevertheless, Talaia is capable of performing further data analysis tasks involving user profiling, in order to get the most out of the data. Specifically, geolocalization, user community identification and gender detection have been implemented. Section \[isv2018:da:profiling\] provides more details.

The rest of the paper is organized as follows. Section \[isv2018:soa\] discusses previous work, focusing on social media and 