Natural Language to SQL: Automated Query Formation Using NLP Techniques

In this era of information world, given any topic, we are able to get relevant data or documents at a mouse click. The flexibility that internet provides is the user friendly language Natural Language search for required topic. Querying and Retrieval has made popular. It implicit business understand what indicating find better opportunities. users using SQL. To effectively Query such systems, Business master Language. But many may not be aware SQL databases some feel difficulty write long Queries. Therefore, it equally important query database very easily. work here presents case study help type in Language, which then converts into statement process against Databases expected result. This proposes QCNER approach extract properties from Query. proposed after application SMOTE technique depicts 92.31 accuracy over existing models. 1