Essays about: "text-classification"

Showing result 1 - 5 of 128 essays containing the word text-classification.

  1. 1. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Li Ang Hu; Long Ma; [2023]
    Keywords : Imbalanced datasets; Swedish text financial datasets; Accuracy; Matthews correlation coefficient; Recall; Multinomial Naive Bayes; SMOTE; TomekLinks; Performance optimization;

    Abstract : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. READ MORE

  3. 2. Active learning for text classification in cyber security

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

    Author : Amanda Carp; [2023]
    Keywords : Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

    Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE

  4. 3. Information Extraction for Test Identification in Repair Reports in the Automotive Domain

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Huang Jie; [2023]
    Keywords : text classification; information retrieval; contrastive learning; prompt-based fine-tuning; large language models;

    Abstract : The knowledge of tests conducted on a problematic vehicle is essential for enhancing the efficiency of mechanics. Therefore, identifying the tests performed in each repair case is of utmost importance. This thesis explores techniques for extracting data from unstructured repair reports to identify component tests. READ MORE

  5. 4. Towards End-User Understanding: Exploring Explanations For Profanity Detection

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Noah Öberg; [2023]
    Keywords : ;

    Abstract : Current text classification models can accurately identify instances of specific categories, such as hate speech or bad language, but they often don’t provide clear explanations to the end user for their decisions. This can lead to confusion or mistrust in the results, especially in sensitive applications where the consequences of misclassification can be significant. READ MORE

  6. 5. Evaluating machine learning models for text classification

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Jonas Lilja; [2023]
    Keywords : Technology and Engineering;

    Abstract : This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. READ MORE