Improved TFIDF in big news retrieval: An empirical study

•The terms are assessed with considering distances between documents.•We create a two-stage algorithm for refining the terms’ weights.•Distance learning is the main feature of our proposed methods.•We analyze Reuters news with respect to text classification and clustering. Thomson Reuters news artic...

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Veröffentlicht in:	Pattern recognition letters 2017-07, Vol.93, p.113-122
1. Verfasser:	Chen, Chien-Hsing
Format:	Artikel
Sprache:	eng
Schlagworte:	Big news Classification Clustering Collection Empirical analysis Machine learning News News classification News clustering Newsprint Retrieval Term weighting Two-stage learning Weight Weighting
Online-Zugang:	Volltext
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