Text Mining is one of the most popular methods of analysis and storage of unstructured data, responsible for nearly 85 per cent of the data in the world. Today, vast volumes of data are collected and stored in data centres and cloud servers by most businesses and organizations. Such data continue to increase rapidly at a time when new information from various sources is coming in. Thus, the capacity, preparing and investigation of huge measures of printed information with customary instruments is a test for organizations and associations. This is the place where text mining, and it’s applications come into the picture. In current occasions, text mining has got significance and has various applications, for example, hazard the board, data executives, client support, misrepresentation discovery, advertise knowledge, web-based life examination, customized promotions, content enhancement, spam sifting, and so forth. Text mining is developing an enormous information investigation and is an incredible technique for breaking down unstructured content information, extricating new bits of knowledge, and finding significant patterns inside it. Text mining consolidates and coordinates information extraction, data stockpiling, arranging, grouping, information mining, Artificial Integellence (AI), measurements, and computational phonetic devices. Text mining has increased noteworthy prevalence over a wide assortment of utilizations in the quickly developing field of enormous information examination. There has been a move towards research activities in both the scholarly world and industry, just as more unpredictable examination gives that require something other than information recuperation. To counter rivalry, a wide range of plans of action, statistical surveying, promoting procedures, political crusades, or vital dynamics are confronted with a developing requirement for text mining.