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dc.contributor.authorSHARMA, SARANSH-
dc.date.accessioned2023-06-12T09:33:04Z-
dc.date.available2023-06-12T09:33:04Z-
dc.date.issued2023-05-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/19842-
dc.description.abstractComment Generation is an emerging field that has attracted significant attention from researchers. They are actively exploring various methods to address this problem and enhance the effectiveness of comment generation. Deep learning techniques have gained popularity in recent times as researchers leverage them to tackle this challenge. The 21st century has witnessed a substantial increase in software development, resulting in a significant rise in lines of code. To expedite the process of writing comments for these codes, individuals are endeavouring to develop automated comment generation systems. Such systems aim to provide comprehensive comments within the source document, enabling new developers to quickly comprehend and commence their work. In the competitive industry, organizations strive to minimize time and maximize productivity. Consequently, comment generation has gradually gained traction as an intriguing area of interest for researchers.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-6401;-
dc.subjectCOMMENT GENERATIONen_US
dc.subjectDEEP LEARNING TECHNIQUEen_US
dc.titleAUTOMATIC COMMENT GENERATION USING DEEP LEARNING TECHNIQUEen_US
dc.typeThesisen_US
Appears in Collections:M.E./M.Tech. Computer Engineering

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