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Using machine learning methods for analyzing sequential textual data

Author(s): Erik Novak (Author), Dunja Mladenić (Supervisor)

Year: 2024

Type: Doctoral dissertation

This thesis investigates machine learning methods for analyzing sequential textual data. Sequential textual data refers to text collected in a specific order where the sequence is significant. Examples include (1) sentences, where word usage and order must adhere to the rules of grammar, (2) news reporting on events happening at …