Sökning: "text categorisation"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden text categorisation.

  1. 1. A Study in Describing Complex Words Using Wikipedia's Categorisation System : Adding Descriptive Terms to Increase the Comprehension of Swedish Texts

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sebastian Ragnarsson; [2023]
    Nyckelord :epithet; wikipedia; nlp; complex words; prototype theori;

    Sammanfattning : This thesis offers new input in the field of generating epithets to aid the comprehension of Swedish texts. For whatever reason, a reader might find certain words in a text difficult to understand. LÄS MER

  3. 2. ‘The Fisherman and his Soul’ Revalued : A Significant and Singular Fairy Tale in Oscar Wilde’s Work

    Master-uppsats, Stockholms universitet/Engelska institutionen

    Författare :Quentin CAIZERGUES; [2022]
    Nyckelord :Oscar Wilde; The Fisherman and his Soul; fairy-tales studies; aestheticism; social critique; Victorian studies; Hans Christian Andersen; The Little Mermaid;

    Sammanfattning : The period 1889-1891 has been regarded as crucial in Oscar Wilde’s (1854-1900) career. Having been somewhat unsuccessful as a writer during the 1880s, and turning to journalism to earn a living, Wilde in this period saw the publication of his dialogues which led to his sole novel The Picture of Dorian Gray (hereafter, Dorian), serialised in 1890 before being republished as a novel in 1891. LÄS MER

  4. 3. Handlingsplaner i matematik : Utifrån ett inkluderande perspektiv

    Magister-uppsats, Linnéuniversitetet/Institutionen för matematik (MA)

    Författare :Jennie Ekman; Louise Hammarström; [2020]
    Nyckelord :Inkludering; handlingsplan; handlingsplaner i matematik; matematikundervisning; grundskola; systematiskt kvalitetsarbete; empirisk studie; dynamisk analys;

    Sammanfattning : This study aims to clarify how five municipalities’ action plans make use of researched success factors, when it comes to include pupils in mathematical education. To be able to do this, we have used relevant literature, dissertations and also conducted a small empirical text study as well as a qualitative review of action plans concerning mathematics. LÄS MER

  5. 4. The crucial parts of text classification with TensorFlow.js and categorisation of news articles

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Författare :Gustav Nordberg; Jesper Grandien; [2020]
    Nyckelord :TensorFlow.js; Machine learning; Text classification; JavaScript;

    Sammanfattning : Text classification is a subset of machine learning which is used to classify texts such as tweets, email, news headlines or articles, with tags or categories. As news publishing can have uncertainty in their categorisations, text classification could categorise articles autonomously and distinguish unclear categorisations. LÄS MER

  7. 5. Intent classification through conversational interfaces : Classification within a small domain

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sasa Lekic; Kasper Liu; [2019]
    Nyckelord :Intent classification; input categorisation; conversational interfaces; SVM; Word2Vec; BERT; small domain; Avsiktsklassificering; input kategorisering; conversational interfaces; SVM; Word2Vec; BERT; begränsad domän;

    Sammanfattning : Natural language processing and Machine learning are subjects undergoing intense study nowadays. These fields are continually spreading, and are more interrelated than ever before. A case in point is text classification which is an instance of Machine learning(ML) application in Natural Language processing(NLP). LÄS MER