A Simple Model for Classifying Web Queries by User Intent

Classifying Web Queries by User Intent aims to identify the type of information need behind the queries. In this paper we use a set of features extracted only from the terms including in the query, without any external or additional information. We automatically extracted the features proposed from two different corpora, then implemented machine learning algorithms to validate the accuracy of the classification, and evaluate the results. We analyze the distribution of the features in the queries per class, present the classification results obtained and draw some conclusions about the feature query distribution.