A Survey on Text Mining Techniques and Methods: A Review Approach

Abstract

Over last few decades, we have witnessed the enormous accumulation and usage of the data. Major issues faced by this data are mismatch and overload. The mismatch is the some useful or interesting data has been overlooked and overload is nothing but the gathered data is not one the user needed. To overcome this issue a technique of text mining has been developed. Text mining extracts the useful and interesting data from the large unstructured data; it helps to cope up with the issues. A complex task in text mining is the analysis and categorization of the extracted data. For the efficient and effective extraction and analysis of the patterns of data, various techniques and methods like categorization, clustering, summarization, stemming etc. have been recently developed. Some of the techniques and methods are discussed in this paper.