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dc.contributor.authorTaliv, Mohammad
dc.date.accessioned2024-09-19T09:22:59Z
dc.date.available2024-09-19T09:22:59Z
dc.date.issued2023-04
dc.identifier.urihttp://10.10.11.6/handle/1/18188
dc.descriptionSCHOOL OF COMPUTING SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING GALGOTIAS UNIVERSITY, GREATER NOIDA INDIAen_US
dc.description.abstractA chatbot or colloquial agent may be a software system that may communicate with an individual by victimization language. One of the essential tasks in the AI and Natural language process is the modeling of language. Since the start of AI, it's been the most formidable challenge to form a decent chatbot. Through chatbots, humans will perform several tasks. The first operation they need to perform is to know the words of humans and to reply to them suitably. In the past, straightforward data ways or written templates and rules were used for the construction of chatbot architectures. With increasing learning capabilities, end-to-end neural networks replaced those models in around 2015. To be specific, encoder-decoder repetition models are currently dominant in dialogue modeling.en_US
dc.language.isoen_USen_US
dc.publisherGalgotias Universityen_US
dc.subjectIntelligent Chatboten_US
dc.subjectLanguage processingen_US
dc.titleIntelligent Chatbot using Natural Language processingen_US
dc.typeTechnical Reporten_US


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