Logo
Please use this identifier to cite or link to this item: http://20.198.91.3:8080/jspui/handle/123456789/8714
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorNaskar, Sudip Kumar-
dc.contributor.authorGhoshal, Srabana-
dc.date.accessioned2025-09-19T09:26:46Z-
dc.date.available2025-09-19T09:26:46Z-
dc.date.issued2022-
dc.date.submitted2022-
dc.identifier.otherDC3601-
dc.identifier.urihttp://20.198.91.3:8080/jspui/handle/123456789/8714-
dc.description.abstractNatural language generation is a subfield of artificial intelligence (AI), a software process that converts data into plain text content. Technology can tell a story ,poems - just like a human analyst- by writing sentences and paragraphs,or making comments. NLG is one of the fastest growing technologies being adopted in the enterprise. There are many use cases for NLG, but where it is seen to be most effective it is deployed to automate time - intensive data analysis and reporting activities. Although a number of approaches have been introduced in the past (e.g. story grammar, story schema and autonomous agents), they all rely heavily on handwriting resources,.The traditional models are are found to be fluent with short texts.But when it comes to practicality long texts are also necessary,which places great limits on its scalability and usability.So, new models have been proposed based on the traditional technologies as backbone to find improved performance in terms of length,coherence as well as relevance .en_US
dc.format.extent43p.en_US
dc.language.isoenen_US
dc.publisherJadavpur University, Kolkata, West Bengalen_US
dc.subjectPoem Generationen_US
dc.titlePoem generation in bengalien_US
dc.typeTexten_US
dc.departmentJadavpur University. Department of Computer Science and Engineeringen_US
Appears in Collections:Dissertations

Files in This Item:
File Description SizeFormat 
M.E. (Computer Science and Engineering) Srabana Ghoshal.pdf1.08 MBAdobe PDFView/Open


Items in IR@JU are protected by copyright, with all rights reserved, unless otherwise indicated.