Search for dissertations about: "text model"

Showing result 1 - 5 of 235 swedish dissertations containing the words text model.

  1. 1. Text Clustering Exploration : Swedish Text Representation and Clustering Results Unraveled

    Author : Magnus Rosell; Viggo Kann; Tapio Salakoski; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Informatics; computer and systems science; Informatik; data- och systemvetenskap;

    Abstract : Text clustering divides a set of texts into clusters (parts), so that texts within each cluster are similar in content. It may be used to uncover the structure and content of unknown text sets as well as to give new perspectives on familiar ones. READ MORE

  2. 2. Automatic Adaptation of Swedish Text for Increased Inclusion

    Author : Evelina Rennes; Arne Jönsson; Marina Santini; Thomas François; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Automatic text adaptation; Automatic text simplification; Easy language; Automatisk textanpassning; Automatisk textförenkling; Lättläst text;

    Abstract : Imagine what life would be if words did not make any sense to you. If you had to use a dictionary, or Google Translate, to check the meaning of each word. If you forgot the first part of the sentence when you got to the last word. Working would be hard, studying perhaps even more difficult. READ MORE

  3. 3. Mining Clinical Text in Cancer Care

    Author : Rebecka Weegar; Dalianis Hercules; Søren Brunak; Lilja Øvrelid; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; text mining; natural language processing; electronic health records; clinical text mining; information extraction; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : Health care and clinical practice generate large amounts of text detailing symptoms, test results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in health records, is a potential source of knowledge and an underused resource for improved health care. READ MORE

  4. 4. Extracting Text into Meta-Data : Improving machine text-understanding of news-media articles

    Author : Johannes Lindén; Tingting Zhang; Stefan Forsström; Patrik Österberg; Martin Holeňa; Mittuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES;

    Abstract : Society is constantly in need of information. It is important to consume event-based information of what is happening around us as well as facts and knowledge. As society grows, the amount of information to consume grows with it. READ MORE

  5. 5. Semantic Spaces of Clinical Text : Leveraging Distributional Semantics for Natural Language Processing of Electronic Health Records

    Author : Aron Henriksson; Hercules Dalianis; Martin Duneld; Jussi Karlgren; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; distributional semantics; random indexing; semantic space; electronic health records; clinical text; synonyms; diagnosis codes; adverse drug reactions; Computer and Systems Sciences; data- och systemvetenskap; IT for health; IT för hälsa; datorlingvistik; Computational Linguistics; datalogi; Computer Science;

    Abstract : The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. READ MORE