A comparative study of various text mining techniques

The enormous amount of information stored in text form cannot simply be used for developing applications in various domains. This is so because applications usually handle text as simple sequence of characters only. Therefore, specific (pre) processing techniques and algorithms are needed in order to extract interesting facts from the text. In sense, text mining can be defined as an automated process to extract key facts and information from available text in an effective and efficient manner, so that, extracted facts can become platform for various applications. In depth analysis of various text mining techniques, their working, complexity, merits and demerits have been presented in simple yet effective manner.