Essays about: "Multi-label text classification"

Showing result 1 - 5 of 11 essays containing the words Multi-label text classification.

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

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Agnieszka Miszkurka; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Alexander Andersson; [2021]
    Keywords : Technology and Engineering;

    Abstract : .... READ MORE

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

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Lukas Borggren; [2021]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Henric Zethraeus; Philip Horstmann; [2021]
    Keywords : Technology and Engineering;

    Abstract : .... READ MORE