Sökning: "multi label text classification"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden multi label text classification.

  1. 1. 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

  3. 2. Methods for data and user efficient annotation for multi-label topic classification

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

    Författare :Agnieszka Miszkurka; [2022]
    Nyckelord :Natural Language Processing; Multi-label text classification; Active Learning; Zero-shot learning; Data Augmentation; Data-centric AI; Naturlig språkbehandling; Textklassificering med multipla klasser; Active Learning; Zero-shot learning; Data Augmentation; Datacentrerad AI;

    Sammanfattning : Machine Learning models trained using supervised learning can achieve great results when a sufficient amount of labeled data is used. However, the annotation process is a costly and time-consuming task. There are many methods devised to make the annotation pipeline more user and data efficient. LÄS MER

  4. 3. Multi-label Text Classification for Symptom Identification

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Alexander Andersson; [2021]
    Nyckelord :Technology and Engineering;

    Sammanfattning : .... LÄS MER

  5. 4. Automatic Categorization of News Articles With Contextualized Language Models

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Lukas Borggren; [2021]
    Nyckelord :Natural Language Processing; Text Classification; Hierarchical Classification; Hierarchical Multi-label Text Classification; Domain Specialization; Metadata Features; Model Compression; Quantization; Pruning; Machine Learning; Deep Learning; Contextualized Language Models; BERT; ELECTRA; News Media;

    Sammanfattning : This thesis investigates how pre-trained contextualized language models can be adapted for multi-label text classification of Swedish news articles. Various classifiers are built on pre-trained BERT and ELECTRA models, exploring global and local classifier approaches. LÄS MER

  7. 5. Evaluation of Active Learning Strategies for Multi-Label Text Classification

    Master-uppsats, Lunds universitet/Institutionen för datavetenskap

    Författare :Henric Zethraeus; Philip Horstmann; [2021]
    Nyckelord :Technology and Engineering;

    Sammanfattning : .... LÄS MER