The Amalgamation of NLP with Text Categorization

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Data Management
Format: PDF
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.
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