Sökning: "word vectors"

Visar resultat 1 - 5 av 39 uppsatser innehållade orden word vectors.

  1. 1. Detecting inconsistencies of safety artifacts with Natural Language Processing Bachelor of Science Thesis

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Xuni Huang; [2023-01-09]
    Nyckelord :Inconsistencies; Safety-critical systems; Natural language processing; Classification;

    Sammanfattning : This paper investigates a method that helps detect inconsistencies between safety-critical systems’ textual safety artifacts that safety cases rely on by involving NLP techniques. A design science research study was conducted in three iterations. I evaluate the method by conducting different experiments. LÄS MER

  3. 2. Förutsäga spelresultat i Dota 2 med NLP och maskininlärningsalgoritmer

    Master-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Bálint Sándor; Ziping Wan; [2023]
    Nyckelord :;

    Sammanfattning : Esports has grown quickly in recent years, and the business has produced a ton of specifications-based data that is simple to obtain. Because of the aforementioned traits, data mining and deep learning techniques can be used to direct participants and create winning strategies. LÄS MER

  4. 3. Image-Guided Zero-Shot Object Detection in Video Games : Using Images as Prompts for Detection of Unseen 2D Icons

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

    Författare :Axel Larsson; [2023]
    Nyckelord :Computer Vision; Deep learning; Machine learning; Object detection; Zeroshot; Datorseende; Djupinlärning; Maskininlärning; Objektdetektering; Zero-shot;

    Sammanfattning : Object detection deals with localization and classification of objects in images, where the task is to propose bounding boxes and predict their respective classes. Challenges in object detection include large-scale annotated datasets and re-training of models for specific tasks. LÄS MER

  5. 4. Classifying personal data on contextual information

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

    Författare :Carl Dath; [2023]
    Nyckelord :Natural Language Processing; Machine Learning; Word2Vec; GloVe; BERT; Personal Data classification; Språkteknologi; Maskininlärning; Personlig Data Klassificering;

    Sammanfattning : In this thesis, a novel approach to classifying personal data is tested. Previous personal data classification models read the personal data before classifying it. However, this thesis instead investigates an approach to classify personal data by looking at contextual information frequently available in data sets. LÄS MER

  7. 5. Text Steganalysis based on Convolutional Neural Networks

    Kandidat-uppsats, Blekinge Tekniska Högskola

    Författare :Tejasvi Akula; Varshitha Pamisetty; [2022]
    Nyckelord :CNN; text steganalysis; Deep Learning; Decision Strategy;

    Sammanfattning : The CNN-based steganalysis model is able to capture some complex statistical dependencies and also learn feature representations. The proposed model uses a word embedding layer to map the words into dense vectors thus, achieving more accurate representations of the words. The proposed model extracts both, the syntax and semantic features. LÄS MER