Synonym reduction in a comparative study of clustering algorithms in text mining

Abstract

The growing use of smart phones, social networks and cloud computing has added a large amount of data. Studies predict that just under 4 trillion gigabytes of data will exist on earth. This has created a problem related to the processing of the data exchanged, which is rising exponentially and should be automatically treated. This paper presents a classical process of knowledge discovery databases for treating textual data. This process is divided into three parts: pre-processing, processing and post-processing. In order to improve the classical process, we propose to introduce synonyms reduction before the processing step. This introduction, based on dictionaries, reduces the size of documents.