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  • entity extraction

    Entity extraction or entity recognition is a process in which specific information is filtered out of unstructured or semi-structured digital data. Individual, clearly identifiable entities such as people, places, things, terms, etc. are extracted and stored in a machine-readable format. Entity recognition makes it possible to gain insight into unknown datasets by making it immediately clear who and what the information is focused on. This enables more efficient decision making and optimised workflows.

    Extracting entities from text is an important step in automatic text generation and is used in various applications such as information extraction, text classification, sentiment analysis and automatic translation.

     

    Sources:

    https://de.shaip.com/in-the-media/decoding-unstructured-data-what-is-entity-extraction-and-why-you-should-care/ (German)

    https://www.expert.ai/blog/entity-extraction-work/#:~:text=Entity%20extraction%2C%20also%20known%20as,classifies%20them%20into%20predefined%20categories.