EMPLOYABILITY OF NATURAL LANGUAGE PROCESSING IN THE GENERATION OF SQL FOR AN EFFICACIOUS EXTRACTION OF SEMANTIC KNOWLEDGE FROM SOCIAL MEDIA

Gitesh Budhiraja

Vol. 5, Jan-Dec 2019

Page Number: 190-206

Abstract:

Gigantic development of web information makes an amazing fantasy in the field of PC and data innovation for extricating important substance from the web. Numerous associations and interpersonal organizations use data sets for putting away data, and the information will be gotten from the predefined information store. Information can be recovered or gotten to by SQL inquiries. However, the inquiry is the as a standard lingual explanation which must be prepared. Thusly, the fundamental objective of this investigation article is to find a fitting strategy to change over ordinary language request to SQL and make the data appropriate for semantic extraction. This Research paper moreover intends to construe a modified request mediator for Natural Language-based investigations into their connected SQL questions and gives a simple to utilize interface between the end-customer and the database for straightforward access of social web data from different web sources, for instance, Facebook, Twitter and LinkedIn, etc, This paper is executed using java as the front end, SQL Server as the back end and R-contraption is used to accumulate the data from social web sources. This investigation article gives an improved SQL request age for the Natural Language question given by the end-customer.

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