Text Mining
Theoretical Aspects and Applications
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Beschreibung
Text Mining - Theoretical Aspects and Applications presents contributions from researchers from different disciplines. Each of them is studying the problem of mining text according to his scientific background: artificial intelligence, computational linguistics, document analysis, machine learning, information retrieval, pattern recognition. Their common goal is to analyse huge text collections in real world applications in order to support knowledge-intensive processes.
Text Mining – Theoretical Aspects and Applications presents contributions from researchers from different disciplines. Each of them is studying the problem of mining text according to his scientific background: artificial intelligence, computational linguistics, document analysis, machine learning, information retrieval, pattern recognition. Their common goal is to analyse huge text collections in real world applications in order to support knowledge-intensive processes.
Autor*in
Jürgen Franke
Themen in »Text Mining«
Data Mining Information Systems Text Mining artificial intelligence cognition computational linguistics information extraction information retrieval intelligence learning linguistics machine learning memory natural language processing pattern recognition