Sökning: "KB-BERT"

Visar resultat 1 - 5 av 13 uppsatser innehållade ordet KB-BERT.

  1. 1. Punctuation Restoration as Post-processing Step for Swedish Language Automatic Speech Recognition

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Ishika Gupta; [2023]
    Nyckelord :Transformer; BERT; KB-BERT; NLP; punctuation restoration; deep learning; neural networks;

    Sammanfattning : This thesis focuses on the Swedish language, where punctuation restoration, especially as a postprocessing step for the output of Automatic Speech Recognition (ASR) applications, needs furtherresearch. I have collaborated with NewsMachine AB, a company that provides large-scale mediamonitoring services for its clients, for which it employs ASR technology to convert spoken contentinto text. LÄS MER

  3. 2. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text

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

    Författare :Andreas Ericsson; [2023]
    Nyckelord :Natural Language Processing; Text Cleaning; Transformers; BERT; Token Classification; Deep Learning; Språkteknologi; Textrensning; Transformers; BERT; Token-klassificering; Djupinlärning;

    Sammanfattning : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. LÄS MER

  4. 3. Annotating Job Titles in Job Ads using Swedish Language Models

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Markus Ridhagen; [2023]
    Nyckelord :Natural language processing; NLP; Named-entity recognition; NER; Bidirectional Encoder Representations from Transformers; BERT; Active Learning;

    Sammanfattning : This thesis investigates automated annotation approaches to assist public authorities in Sweden in optimizing resource allocation and gaining valuable insights to enhance the preservation of high-quality welfare. The study uses pre-trained Swedish language models for the named entity recognition (NER) task of finding job titles in job advertisements from The Swedish Public Employment Service, Arbetsförmedlingen. LÄS MER

  5. 4. Sentiment and Semantic Analysis and Urban Quality Inference using Machine Learning Algorithms

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

    Författare :Emily Ho; Michelle Schneider; [2022-10-14]
    Nyckelord :Natural Language Processing; Machine Learning; Deep Neural Networks; Transformers; BERT; NER; Text Classification; Urban Planning; Qualitative Research; Interviews;

    Sammanfattning : Qualitative interviews are conducted by researchers to gain a deeper understanding of people’s opinions and perceptions about a specific topic. The analysis of such textual data is an iterative process and often time-consuming. LÄS MER

  7. 5. Aspektbaserad Sentimentanalys för Business Intelligence inom E-handeln

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

    Författare :Albin Eriksson; Anton Mauritzon; [2022]
    Nyckelord :Aspect-based sentiment analysis; Aspect extraction; BERT; Business Intelligence; Dependency parsing; Ecommerce; KB-BERT; Sentiment analysis; Sentiment classification; Aspektbaserad sentimentanalys; Aspektextraktion; BERT; Business Intelligence; Dependensparsning; E-handel; KB-BERT; Sentimentanalys; Sentimentklassificering;

    Sammanfattning : Many companies strive to make data-driven decisions. To achieve this, they need to explore new tools for Business Intelligence. The aim of this study was to examine the performance and usability of aspect-based sentiment analysis as a tool for Business Intelligence in E-commerce. LÄS MER