The International Journal of Innovative Research in Computer and Communication Engineering
Text Mining (TM) and Natural Language Processing (NLP) are very closely related to each other. Though TM is not really associated with the semantic and the syntax of a language, it does try to link documents or unstructured data in such a way that at the end of the day the authors can say those documents are semantically closely associated. TM has a number of subtasks like text clustering, text summarizing, text categorizing, etc. In this paper, they are discussing research related to converting a simple English language question to its equivalent Structured Query Language (SQL) statement for a novice to fetch information from a database.