4 core processors (E5530) at 2.4 GHz and 16GB RAM. MySQL databases are locally stored in the server. The crawler and the text analyzers all ran locally, but no interface was implemented in this case.

Cultural Domain {#isv2018:success:cult}
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Talaia was first applied in the Behagunea[^24] project. The objective of the project involved tracking the social media impact of cultural events and projects carried out (more than 500) in the framework of the Donostia European Capital of Culture (DSS2016) year during 2016. The project included monitoring opinions in press and social media in four languages: Basque, French and Spanish as coexisting languages in the different Basque speaking territories and English as international language.

Domain adapted polarity models were created. Since events related to DSS2016 were already programmed during 2015, a previous crawl was carried out in order to build datasets. Those datasets were manually annotated for polarity in a three category scale (positive, negative, neutral). Section \[isv2018:eval:datasets\] gives more details about the various language and domain specific datasets. Polarity classification models for the cultural domain were trained using those datasets and are distributed as part of EliXa. Section \[isv2018:eval:cult\] gives details related to those classifiers.

Talaia ran on an Amazon 