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

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 11 Issue 3
March-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2403036


Registration ID:
533121

Page Number

a277-a284

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Title

A Survey on Various Chatbots

Abstract

In the modern world, people are always on the lookout for new information and ways to learn. However, it can be time-consuming and difficult to find the information we need through traditional methods, such as books, search engines, and online Encyclopedias. Chatbots can provide instant information to the queries in a various of sectors, which includes banking, retail, travel, healthcare, and education. Chatbots are computer applications which are created to imitate real-world user chats. They are powered by artificial intelligence (AI) and natural language processing (NLP) technologies, which enables them to understand human language and respond to it. Chatbots can be employed to carry out activities, offer information, and respond to queries. In this Paper we surveyed various methodologies of chatbot implementation, which includes Long Short-Term Memory (LSTM), Natural Language Generation (NLG), Supervised Machine Learning (SVM), Model Driven Engineering (MDE), Dialogue Management, Human-in-the-Loop (HITL), Audio-Frame Mean Expression (AFME), Random Forest, Support Vector Machine (SVM), Recurrent Neural Network (RNN), and Convolutional Neural Network etc. the cutting-edge methodologies. These techniques are used to create chatbots with more complex natural language comprehension and response capabilities. This paper's objective is to review and contrast several chatbot development approaches in order to determine which is optimal for certain applications. Finally this paper concluded that there are various methodologies and algorithms to implement a chatbot but every method has its own priority based on the specific task requirement, however methodologies evaluation accuracies and suggestion were presented in this survey paper.

Key Words

CHATBOT, ARTIFICIAL INTELLIGENCE, NATURAL LANGUAGE PROCESSING

Cite This Article

"A Survey on Various Chatbots ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.a277-a284, March-2024, Available :http://www.jetir.org/papers/JETIR2403036.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

"A Survey on Various Chatbots ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppa277-a284, March-2024, Available at : http://www.jetir.org/papers/JETIR2403036.pdf

Publication Details

Published Paper ID: JETIR2403036
Registration ID: 533121
Published In: Volume 11 | Issue 3 | Year March-2024
DOI (Digital Object Identifier):
Page No: a277-a284
Country: Krishna, Andhra Pradesh, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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