Text Classification in the Field of Search Engines
Journal: International Journal of Modern Research in Engineering and Technology (Vol.3, No. 1)Publication Date: 2018-01-30
Authors : Javier Pérez; David Martínez; Darío Arenas; David Llorente; Eugenio Fernández; Antonio Moratilla;
Page : 57-61
Keywords : Text Classification; Naive Bayesian Classifier; Random Forest; Support Vector Machine; Cross-validation; Schwarz Criterion;
Abstract
Search and communication are the most popular uses of the computer. Not surprisingly, many people in companies and universities are trying to improve search by coming up with easier and faster ways to find the right information.Behind this whole business model underlies a problem of text classification. Classify the intention that users reflect through query to provide relevant results in terms of both organic search results and sponsored links.Inspired by stock market machine learning systems, a text classification tool is proposed. It consists of using a combination of classic text classification techniques to select the one that offers the best results according to an established machine learning criterion.
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Last modified: 2018-08-25 18:49:59