… of data mining algorithms used for text classification and a review of works that have been
performed on classifying texts. … algorithms used for text classification were discussed and …

… of the techniques that can be used to make classifications [1]. Text mining is a variation of
data mining that tries to identify interesting patterns in a large collection of textual data. Besides …

… Non-parametric techniques have been studied and used as classification tasks … classifier
for document categorization. This technique can also be used in all domains of data mining …

… the process of text data mining by presenting the fields that use text mining applications. …
text classification algorithms. Finally, we used a spam dataset for classification detection data …

… from the previous stage with the same report ID. However, the report ID is not included into
the classifier during the text classification … -labeled levels (from supervised learning). After the …

… and analyze the collected data, and this trend refers to big data. Many … text categorization
and data analysis methods; these techniques include data mining, web mining, and text mining. …

… data mining we discover useful and hidden knowledge from … In the case of labelled text
classification we use supervised machine … While in case of unlabeled text classification we use …

… for the text classification of the problem code data used in this research, we evaluated the
performance of the supervised learning–based text classification algorithms using a confusion …

… Support Vector Machines (SVM) as the classification algorithm, since they have been
proven to work well for highskew text classification tasks. Naïve Bayes requires little data for …

… in which Content Mining uses text, images, Audio and Video to … Web Mining is sub process
of Data Mining which involves … It is used in personal email sorting, document categorization, …