aiheluokittelu
Aiheluokittelu (Finnish for "topic classification") is the process of assigning one or more topic labels to a text document or other piece of content. It is a subfield of text classification and information retrieval that groups documents by subject matter to enable organization, search, filtering and analysis of large text corpora.
Common approaches to aiheluokittelu include rule-based systems, supervised machine learning, and unsupervised or semi-supervised techniques. Traditional
Evaluation typically employs metrics from classification tasks, for example accuracy, precision, recall and F1 score, with
Applications of aiheluokittelu span news categorization, content recommendation, customer feedback analysis, moderation, digital libraries and academic