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Text mining (also known as text mining or text analytics) is the field that groups together the techniques that allow the text to extract structured information or knowledge. These techniques allow for easy and efficient analysis of encoded information in text repositories (in some cases, big data), which greatly facilitates decision-making processes. This broad field includes various tasks, such as text classification, grouping, extraction of nominative and opinion entities, document synthesis and information retrieval. Today, text mining technologies are used with great success to meet the diverse needs of governments, research and markets. Our main lines of research are:

  • Multilingual monolingual search results
  • Classification of languages
  • Polarity classification in opinion texts
  • Creating thematic labels for news
  • Creating timelines

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Data processor: Elhuyar

Purpose: Managing any requests and queries made.

Legal grounds: Permission obtained, legitimate interest and regulatory compliance

Recipients: Third-party service providers (including international transfers).

Rights: Rights to access, rectify and erase the data, and the rights to limit and object to their processing, including the right to object to being subject to automated individual decisions.

Source: User.

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