EXPLORATION OF TEXT MINING AND LEXICAL ANALYSIS USING A NOVEL APPROACH

To analyze a massive and extremely large amount of text information efficiently we use text mining techniques. It has been received a lot of attention because of the increasing demands of various organizations and companies to manage the large datasets of information which are available in text documents. In this digital world, text mining is very essential. The main goal is to discover information which is unknown, which is something till now not aware of anyone and so it has not been written down. Text mining is much similar to the web search but there are minor differences between the two of them. The major difference between text mining and web search is that in web search the browser searches the information which the user wants and that is already known that is it is written by someone else whereas in text mining we don't know exactly what we are looking for. The main objective of text mining is to discover new patterns and new trends among data, associations in entities and predictive rules, etc which combine together to extract information which is required by the user. This research is based on the exploration of the capabilities of text mining using R language which is an open source software which is basically used for statistical computing and graphics.