Fine-Grained News Classification
Master thesis
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https://hdl.handle.net/11250/3073296Utgivelsesdato
2023-06-02Metadata
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- Master theses [203]
Sammendrag
This thesis investigates the concepts of fine-grained news classification. To do this, an empirical study in which human annotators categorized news was conducted. The also study consisted of measuring agreement between hu- man annotators and evaluating the precision of the annotations. The study revealed a need for a framework for fine-grained news classification. A framework was then developed and evaluated, producing a complete annotated dataset.