Norbert Kerekes – Multi-label classification of online forum posts

2020 Survey Statistics and Data Analytics MSC Supervisor Renáta Németh, PhD

Norbert Kerekes (LinkedIn)

Multi-label classification is a machine learning task seldom mentioned, considering how prevalent the problem is in everyday life.
The thesis is about this problem, aiming to overview and compare algorithms suited to solve multi-label problems. The most important representatives of the two greater algorithm families (problem transformation and adaptive algorithm methods) are presented in a text classification problem. The database contains depression-related online forum entries categorized by the biopsychosocial model.

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