Sökning: "Sentence final"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden Sentence final.

  1. 1. Large-scale Exploratory Text Visualisation

    Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Wilma Axelsson; Nellie Engström; [2023]
    Nyckelord :Natural language processing; information visualisation; text visualisation; Swedish news articles; dynamic topic modeling; hierarchical topic modeling; BERTopic;

    Sammanfattning : The amount of available text data has increased rapidly in the latest years, making it difficult for an everyday user to find relevant information. To solve this, NLP and visualisation methods have been developed for extracting valuable information from text and presenting it to the user. LÄS MER

  2. 2. 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

  3. 3. Information Extraction and Design of An Assisted QA system in Motor Design

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

    Författare :Hongyi Luo; [2022]
    Nyckelord :Motor Design; PEGASUS; Question and Answer System; Text Summarization; Natural Language Processing; Deep Learning; Motorkonstruktion; PEGASUS; fråge- och svarssystem; sammanfattning av text; behandling av naturligt språk; djupinlärning;

    Sammanfattning : The Linz Center of Mechatronics’ SymSpace platform is designed to provide intelligent design and training for the traditional engineer training and industrial design approach in the field of motor design, which relies on the engineer’s own experience and manual work. This paper first analyzes and explores the usage patterns and possible improvement perspectives of motor design components using SymSpace user data. LÄS MER

  4. 4. Swedish Language End-to-End Automatic Speech Recognition for Media Monitoring using Deep Learning

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Hector Nyblom; [2022]
    Nyckelord :Automatic Speech Recognition; Deep Learning; Machine Learning; Natural Language Processing; Media Monitoring;

    Sammanfattning : In order to extract relevant information from speech recordings, the general approach is to first convert the audio into transcribed text. The text can then be analysed using well researched methods. NewsMachine AB provides customers with an overview of how they are represented in media by analysing articles in text form. LÄS MER

  5. 5. 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