Sökning: "ordinbäddningar"

Visar resultat 1 - 5 av 17 uppsatser innehållade ordet ordinbäddningar.

  1. 1. Discover patterns within train log data using unsupervised learning and network analysis

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

    Författare :Zehua Guo; [2022]
    Nyckelord :Log analysis; Natural language processing; Unsupervised learning; Clustering; Network analysis; Logganalys; Bearbetning av naturligt språk; Oövervakat lärande; Clustering; Nätverksanalys;

    Sammanfattning : With the development of information technology in recent years, log analysis has gradually become a hot research topic. However, manual log analysis requires specialized knowledge and is a time-consuming task. Therefore, more and more researchers are searching for ways to automate log analysis. LÄS MER

  3. 2. Cluster selection for Clustered Federated Learning using Min-wise Independent Permutations and Word Embeddings

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

    Författare :Pulasthi Raveen Bandara Harasgama; [2022]
    Nyckelord :Federated learning; Distributed machine learning; Clustering; Word Embeddings; Federerad inlärning; Distribuerad maskininlärning; Klustring; Ordinbäddningar;

    Sammanfattning : Federated learning is a widely established modern machine learning methodology where training is done directly on the client device with local client data and the local training results are shared to compute a global model. Federated learning emerged as a result of data ownership and the privacy concerns of traditional machine learning methodologies where data is collected and trained at a central location. LÄS MER

  4. 3. Optimering av en chattbot för det svenska språket

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Mohammed Mutaliev; Ibrahim Almimar; [2021]
    Nyckelord :Chatbots; machine learning; natural language processing; tokenization; feature extraction; classification; word embeddings; transformers; Chattbottar; maskininlärning; naturlig språkbearbetning; tokenisering; känneteckensextrahering; klassificering; ordinbäddningar; transformatorer;

    Sammanfattning : Chattbotutvecklare på Softronic använder i dagsläget Rasa-ramverket och dess standardkomponenter för bearbetning av användarinmatning. Det här är problematiskt då standardkomponenterna inte är optimerade för det svenska språket. LÄS MER

  5. 4. Software Issue Time Estimation With Natural Language Processing and Machine Learning

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

    Författare :Martin Hyberg; [2021]
    Nyckelord :Natural Language Processing; Regression; Classification; Time Estimation; Software Issues; Word2Vec; FastText; Språkteknologi; Regression; Klassificering; Tidsuppskattning; Mjukvaruärenden; Word2Vec; FastText;

    Sammanfattning : Time estimation for software issues is crucial to planning projects. Developers and experts have for many decades tried to estimate time requirements for issues as accurately as possible. The methods that are used today are often time-consuming and complex. LÄS MER

  7. 5. Classification of Transcribed Voice Recordings : Determining the Claim Type of Recordings Submitted by Swedish Insurance Clients

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

    Författare :Carl Piehl; [2021]
    Nyckelord :Text Classification; Word embeddings; BERT; LSTM; Cost-sensitive learning; Focal loss; Textklassificering; Ordinbäddningar; BERT; LSTM; Kostnadskänslig inlärning; Fokal förlustfunktion;

    Sammanfattning : In this thesis, we investigate the problem of building a text classifier for transcribed voice recordings submitted by insurance clients. We compare different models in the context of two tasks. The first is a binary classification problem, where the models are tasked with determining if a transcript belongs to a particular type or not. LÄS MER