Sökning: "Textklassificering"

Visar resultat 11 - 15 av 44 uppsatser innehållade ordet Textklassificering.

  1. 11. Maskininlärning för dokumentklassificering av finansielladokument med fokus på fakturor

    Uppsats för yrkesexamina på avancerad nivå, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Nawar Khalid Saeed; [2022]
    Nyckelord :Document classification; Text classification; Invoices; NLP; TF-IDF; Doc2vec; Machine Learning; Logistic Regression; Multinomial Naïve Bayes; Support Vector Machine.; Dokumentklassificering; Textklassificering; Fakturor; NLP; TF-IDF; Doc2vec; Maskininlärning; Logistic Regression; Multinomial Naïve Bayes; Support Vector Machine.;

    Sammanfattning : Automatiserad dokumentklassificering är en process eller metod som syftar till att bearbeta ochhantera dokument i digitala former. Många företag strävar efter en textklassificeringsmetodiksom kan lösa olika problem. LÄS MER

  3. 12. Evaluation of the performance of machine learning techniques for email classification

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

    Författare :Isabella Tapper; [2022]
    Nyckelord :Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

    Sammanfattning : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. LÄS MER

  4. 13. Automatic Classification of Conditions for Grants in Appropriation Directions of Government Agencies

    Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

    Författare :Emma Wallerö; [2022]
    Nyckelord :Text classification; annotation; SVM; BiLSTM; Transformers; BERT; Textklassificering; annotering; annotation; SVM; BiLSTM; Transformers; BERT;

    Sammanfattning : This study explores the possibilities of classifying language as governing or not. The ground premise is to examine how detecting and quantifying governing conditions from thousands of financial grants in appropriation directions can be performed automatically, as well as creating a data set to perform machine learning for this text classification task. LÄS MER

  5. 14. Multi-Class Emotion Classification for Interactive Presentations : A case study on how emotional sentiment analysis can help end users better convey intended emotion

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

    Författare :Charlotte Andersson; [2022]
    Nyckelord :Interactive Presentations; Audience Engagement Platform; Emotion Prediction; Natural Language Processing; Text Classification; Sentiment Analysis; BERT; Case Study; Interaktiva Presenationer; Publikengagemangsplattform; Förutsägelse av Känslor; Natural Language Processing; Textklassificering; Attitydanalys; BERT; Fallstudie;

    Sammanfattning : Mentimeter is one of the fastest-growing startups in Sweden. They are an audience engagement platform that allows users to create interactive presentations and engage an audience. As online information spreads increasingly faster, methods of analyzing, understanding, and categorizing information are developing and improving rapidly. LÄS MER

  7. 15. Comparison of Machine Learning Models Used for Swedish Text Classification in Chat Messaging

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

    Författare :Mezbahul Karim; Amirtaha Amanzadi; [2022]
    Nyckelord :Machine learning; Natural language processing NLP ; Text classification; Model deployment; BERT; Maskininlärning; Naturlig språkbehandling NLP ; Textklassificering; Modellinstallation; BERT;

    Sammanfattning : The rise of social media and the use of mobile applications has led to increasing concerns regarding the content that is shared through these apps and whether they are being regulated or not. One of the problems that can arise due to a lack of regulation is that chat messages that are inappropriate or of profane nature can be allowed to be shared through these apps. LÄS MER