The impact of preprocessing on text classification

By Alper Kursat Uysal, Serkan Günal. Information Processing & Management, 2014

664 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment (2015, result): “However, accuracy results of recent comparable efforts in the same research space are also provided in this work for a better evaluation of the results achieved here.”
A survey of the applications of text mining in financial domain (2016, background): “Uysal and Gunal (2014) presented a paper on the text preprocessing and its effect on the classification task.”
Text mining for market prediction: A systematic review (2014, background): “In data mining in general and text mining specifically the pre-processing phase is of significant impact on the overall outcomes (Uysal & Gunal, 2014).”
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques (2017, background): “[140] have investigated the impact of preprocessing tasks particularly in the area of text classification.”
Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations (2020, background): “For example, Uysal and Gunal (2014) found that lowercase conversion increased the accuracy of machine learning classifiers for classifying emails as spam and identifying the category of news stories in both English and Turkish.”