Abstract:Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset training data. Simil...
Text categorization is a fundamental task in document processing, allowing the automated handling of enormous streams of documents in electronic form. One difficulty in handling some classes of documents is the presence of different kinds of textual ...
Abstract: The term word association is used in a very particular sense in the psycholinguistic literature. (Generally speaking, subjects respond quicker than normal to the word nurse if it follows a highly associated word such as doctor. ) We will ex...
Abstract: This volume presents the results of a lexical and grammatical analysis of a one-million-word corpus of present-day American English, originally assembled at Brown University in 1963-64 and thus commonly referred to by researchers interested...
