Sökning: "textrank"

Visar resultat 1 - 5 av 7 uppsatser innehållade ordet textrank.

  1. 1. AI-sammanfattade klagomål på hälso- och sjukvård

    Kandidat-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :David Aho; Leah Nhieu; [2023]
    Nyckelord :Dataset; AI models; Natural Language Processing; Text summarization; Machine Learning; BART; PEGASUS; T5; Flan-T5; GPT-Sw3; Technology and Engineering;

    Sammanfattning : Detta examensarbete utfördes i samarbete med Patientnämnden Skåne, som är en av Region Skånes fristående förvaltningar. Patientnämnden ansvarar bland annat för hantering av patienters klagomål om hälso- och sjukvård som tillhör Region Skåne. Att sammanfatta klagomål är en av uppgifterna inom hanteringen av klagomål. LÄS MER

  3. 2. Towards the creation of a Clinical Summarizer

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Axel Gunnarsson; [2022]
    Nyckelord :NLP; BERT; summarization; extractive summarization; medical records;

    Sammanfattning : While Electronic Medical Records provide extensive information about patients, the vast amounts of data cause issues in attempts to quickly retrieve valuable information needed to make accurate assumptions and decisions directly concerned with patients’ health. This search process is naturally time-consuming and forces health professionals to focus on a labor intensive task that diverts their attention from the main task of applying their knowledge to save lives. LÄS MER

  4. 3. Summarization and keyword extraction on customer feedback data : Comparing different unsupervised methods for extracting trends and insight from text

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Therése Skoghäll; David Öhman; [2022]
    Nyckelord :Unsupervised learning; Natural Language Processing; Text Summarization; Keyword Extraction; K-means; YAKE!; BERT;

    Sammanfattning : Polestar has during the last couple of months more than doubled its amount of customer feedback, and the forecast for the future is that this amount will increase even more. Manually reading this feedback is expensive and time-consuming, and for this reason there's a need to automatically analyse the customer feedback. LÄS MER

  5. 4. Clustering and Summarization of Chat Dialogues : To understand a company’s customer base

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Oskar Hidén; David Björelind; [2021]
    Nyckelord :Machine Learning; NLP; Text Representations; Clustering; Extractive summarization; TFIDF; S-BERT; FastText; K-means; DBSCAN; HDBSCAN; LSA; TextRank; Word Mover s Distance WMD ;

    Sammanfattning : The Customer Success department at Visma handles about 200 000 customer chats each year, the chat dialogues are stored and contain both questions and answers. In order to get an idea of what customers ask about, the Customer Success department has to read a random sample of the chat dialogues manually. LÄS MER

  7. 5. Automatic text summarization of Swedish news articles

    Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Niko Lehto; Mikael Sjödin; [2019]
    Nyckelord :Automatic text summarization; Language technology; Summary evaluation; Natural language processing;

    Sammanfattning : With an increasing amount of textual information available there is also an increased need to make this information more accessible. Our paper describes a modified TextRank model and investigates the different methods available to use automatic text summarization as a means for summary creation of swedish news articles. LÄS MER