is based on classifying messages, no user profile information is used.

Data Visualization {#isv2018:da:vis}
==================

The GUI has been developed using the Django Web Application framework[^20]. This interface provides data analysis visualizations and manages the communication with both the crawler and EliXa.

Talaia implements a number of visualizations which may be customized depending on the needs of the specific use case at hand[^21]. The main visualizations include popularity, sympathy and antipathy comparison, evolution of mentions across time, most recent mentions, most widespread mentions, most active users in social media and news sources, and most frequent topics. All those visualizations include interactions that provide further analysis such as looking at the specific data regarding an specific party or candidate, or filtering the data according to various criteria such as language, time period, data source or author influence. All graph visualizations are implemented using d3.js[^22] javascript library.

The interface also has management capabilities which allows to manually review the automatic sentiment labelling. Keyword hierarchy and new website sources can be also set up through the interface. These functionalities ease the process of creating training datasets and adapting Talaia to new domains.

One of the main challenges the interface has to face is 