METHOD AND SYSTEM FOR EXTRACTING NATURAL LANGUAGE ELEMENTS EMBEDDED IN APPLICATION SOURCE CODE

Natural language elements are present in both the executable lines and non-executable lines of the code. Rich information hidden within them are often ignored in code analysis as extraction of meaningful insights from its raw form is not straight forward. A system and method extracting natural language elements from an application source code is provided. The disclosure provides a method for performing detailed analytics on the natural language elements, classify those using deep learning networks and create meaningful insights. The system understands the different type of natural language elements, comment patterns present in the application source code and segregates the authentic comments having valuable insights, version comments, data element level comments from other non-value adding comments. The embedded intelligence finally takes care of mapping the extracted natural language elements with the code blocks, thus making it consumable and opening a range of applications in domain contextualization, code documentation and maintenance.