Automatic Text Classification

Thematic Area: Knowledge

Automatic Text Classification focuses on the automatic analysis of the content of a piece of text, and its classification with respect to a set of categories in a taxonomy of interest. It is a core functionality with respect to a large number of information processing tasks, e.g., spam detection, sentiment/opinion analysis, user profiling, document filtering/routing. ATC leverages on many computer science disciplines, such as Natural Language Processing, Machine Learning, and Information Retrieval.

Referent

Andrea Esuli

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