Using K-Means Algorithm for Description Analysis of Text in RSS News Format

Autor:	De-La-Hoz-Franco, Emiro, Oviedo Carrascal, Ana Isabel, Ariza Colpas, Paola Patricia
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	Simple K-means Stopwords Text mining Bag of words RSS news’s format
Zdroj:	International Conference on Data Mining and Big Data REDICUC-Repositorio CUC Corporación Universidad de la Costa instacron:Corporación Universidad de la Costa
Popis:	This article shows the use of different techniques for the extraction of information through text mining. Through this implementation, the performance of each of the techniques in the dataset analysis process can be identified, which allows the reader to recommend the most appropriate technique for the processing of this type of data. This article shows the implementation of the K-means algorithm to determine the location of the news described in RSS format and the results of this type of grouping through a descriptive analysis of the resulting clusters.
Databáze:	OpenAIRE
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