Publication Date: 2023/05/19
Abstract: In recent years, there is an exponential growth in the amount of data that is being generated every day. Nowadays there is the widespread use of technology in all fields. As data is growing accessing data that is required out of the huge amount of data is an important task. Structured query language (SQL) is commonly used to access data from a database. Even though these help in fetching the required data, it is not as user-friendly as using natural language. In this paper, the query writing task will be done by the model which will reduce the burden of a user who does not have any prior knowledge about the query language. The model is built using natural language processing and the deep learning model LSTM (Long Short-Term Memory).
Keywords: Natural Language Processing, SQL, Lexical Analysis, Syntactic and Semantic Analysis, Partial search, Long Short-Term Memory, Natural language query, Structured query language
DOI: https://doi.org/10.5281/zenodo.7950915
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23MAY490.pdf
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