Towards Automatic and Optimal Filtering Levels for Feature Selection in Text Categorization

Text Categorization (TC) is an important issue within Information Retrieval (IR). Feature Selection (FS) becomes a crucial task, because of the presence of irrelevant features causing a loss in the performance. FS is usually performed selecting the features with highest score according to certain me...

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Bibliographische Detailangaben
Hauptverfasser:	Montañés, E., Combarro, E. F., Díaz, I., Ranilla, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Data processing. List processing. Character string processing Exact sciences and technology Feature Selection Feature Subset Information Gain Information Retrieval Information systems. Data bases Memory organisation. Data processing Software Speech and sound recognition and synthesis. Linguistics Target Function
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