Authors :
Sivani JC; Sathyalakshmi S; Sthuthi B; Prof. Kamleshwar Kumar Yadav
Volume/Issue :
Volume 8 - 2023, Issue 5 - May
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3WmsxBS
DOI :
https://doi.org/10.5281/zenodo.7950915
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
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
