Abstract
Text mining is an eminent field of research in data mining, which tries to discover knowledge from the structured or unstructured text. Text mining involves several pre-processing and classification techniques. Text classification is a popular research topic in text mining, which is used to classify the text documents into inter-related categories. In this paper, we have discussed various text pre-processing and classification techniques in text mining. Also, we have analysed several limitations, support, confidence and accuracy of results. Based on above discussions, we concluded with some suggestions for the extension studies. This study is very useful to novice text mining researchers.
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