SA. Both the academic and industrial points of view are taken into account. The third section describes in detail the modules composing Talaia. Section \[isv2018:success\] presents two success cases where the platform has been used for monitoring different events. Section \[isv2018:eval\] provides evaluation and results on the SA task for both scenarios. The last section draws some conclusions and future directions.

Background {#isv2018:soa}
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Social Media Analysis {#isv2018:soa:SocialMedia}
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Social media are becoming the primary environment for producing, spreading and consuming information. Enormous quantities of user generated content are produced constantly. Even traditional media spread their news and get a large amount of traffic trough social media. Monitoring events or topics in such an environment is however a challenging task. That is where data mining and Natural Language Processing (NLP) become essential. We have to be able to collect large scale data, but also to extract the relevant information. Tracking a topic over an extended time period means that the information flow grows and fades over time. Also a topic may evolve in terms of the vocabulary used, and thus “topic detection and tracking” (TDT) [@allan1998topic] techniques become relevant to maintain a successful monitoring.

Several systems have been proposed in 