UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 1
January-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1901433


Registration ID:
195313

Page Number

244-249

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Title

Study of Neural Network Based Approaches to implement Modern Chatbots

Abstract

With the emerging trend of chat applications across the globe has made chatbots a new technology that has changed the way we do our conversations. It is a technology that brings many advantages with it for businesses that adopt it. Having an interactive chatbot whose narrative is not programmer driven but instead its own would give rise to a even stronger virtual companion. But these chatbot applications have certain shortcomings. The chatbot fails to understand the context of a conversation and looses the trail of it while conversing, or it might fail to process large training sets due to scalability issues. Here we will discuss the popular neural network models and word embedding techniques for building a smarter chatbot. We also address the shortcomings of these approaches so that we can identify the research area that needs attention to create a smart chatbot that can successfully identify the user’s query and generate the right and meaningful response. Mostly chatbots fail to truly understand human conversations, making it understand the context of the conversation will be the first step to a better chatbot.

Key Words

Chatbots; LSTM(Long-Short Term Memory); deep learning; RNN (Recurrent Neural Network); CNN(Convolutional Neural Network); ChatBot; Conversational agent; AI (Artificial Intelligence); NLP (Natural Language Processing); ML (Machine Learning);

Cite This Article

"Study of Neural Network Based Approaches to implement Modern Chatbots", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.244-249, January-2019, Available :http://www.jetir.org/papers/JETIR1901433.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Study of Neural Network Based Approaches to implement Modern Chatbots", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp244-249, January-2019, Available at : http://www.jetir.org/papers/JETIR1901433.pdf

Publication Details

Published Paper ID: JETIR1901433
Registration ID: 195313
Published In: Volume 6 | Issue 1 | Year January-2019
DOI (Digital Object Identifier):
Page No: 244-249
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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