An Epitome of Chatbot: A Review Paper
Jeetu Kumar Gupta1 , Sohit Agarwal2
Section:Review Paper, Product Type: Journal Paper
Volume-7 ,
Issue-1 , Page no. 633-636, Jan-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i1.633636
Online published on Jan 31, 2019
Copyright © Jeetu Kumar Gupta, Sohit Agarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Jeetu Kumar Gupta, Sohit Agarwal, “An Epitome of Chatbot: A Review Paper,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.633-636, 2019.
MLA Style Citation: Jeetu Kumar Gupta, Sohit Agarwal "An Epitome of Chatbot: A Review Paper." International Journal of Computer Sciences and Engineering 7.1 (2019): 633-636.
APA Style Citation: Jeetu Kumar Gupta, Sohit Agarwal, (2019). An Epitome of Chatbot: A Review Paper. International Journal of Computer Sciences and Engineering, 7(1), 633-636.
BibTex Style Citation:
@article{Gupta_2019,
author = {Jeetu Kumar Gupta, Sohit Agarwal},
title = {An Epitome of Chatbot: A Review Paper},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {633-636},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3557},
doi = {https://doi.org/10.26438/ijcse/v7i1.633636}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.633636}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3557
TI - An Epitome of Chatbot: A Review Paper
T2 - International Journal of Computer Sciences and Engineering
AU - Jeetu Kumar Gupta, Sohit Agarwal
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 633-636
IS - 1
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
632 | 412 downloads | 150 downloads |
Abstract
Chatbot is a technology which is used to do the interactions between the human and the machine, these chatbots can be used in various fields and have various purpose to do the task, where a human can lag behind due to various reasons. Some of the most recent and advance chatbots are in a voice like IBM Watson, Amazon Alexa, Google Assistance, Microsoft`s Cortana, Apple Siri, wherein text question and answering we have Google Allo, Mitsuku and many more examples lay down. These all chatbots makes life easier to answer the question for different application in no mean of time. As they were being made with different tools and technology like Natural Language Processing (NLP). The technology of machine learning is growing so rapidly that the implementation of chatbots in the organization, and doing the research can improve the efficiency of it and can perform outstandingly in a different sector. The most demanding sector of chatbot is in the business sector where the customer service plays an important role, as they can do the continuous work, and handles the client by 24/7 support. Chatbot virtual assistance gives genuine feedback support to client, where artificial intelligence and machine learning do the backend work done in processing and giving appropriate answer or output to the user.
Key-Words / Index Term
Chatbot, Machine Learning, A.I, NLP, Neural Network, Deep Learning
References
[1] Dahiya, Menal. (2017). A Tool of Conversation: Chatbot. INTERNATIONAL JOURNAL OF COMPUTER SCIENCES AND ENGINEERING. 5. 158-161.
[2] Nielson, M. A. (2015). Chapter 3: Improving the way neural networks learn. In Neural Networks and Deep Learning. essay, Determination Press.
[3] Foxsybot. Retrieved from https://www.messenger.com/t/foxsybot
[4] Fundamentals of Deep Learning – Activation Functions and When to Use Them? (OCTOBER 23, 2017). Retrieved from https://www.analyticsvidhya.com/blog/2017/10/fundamentals-deep-learning-activation-functions-when-to-use-them/
[5] World`s data will grow by 50X in next decade, IDC study predicts. (JUN 28, 2011 2:23 PM PT). Retrieved from https://www.computerworld.com/article/2509588/data-center/world-s-data-will-grow-by-50x-in-next-decade--idc-study-predicts.html
[6] How do I accurately understand a neural network diagram?(SEPTEMBER, 2018). Retrieved from https://www.reddit.com/r/learnmachinelearning/comments/9m561w/how_do_i_accurately_understand_a_neural_network/
[7] Li, J., Monroe, W., Ritter, A., Galley, M., Gao, J., & Jurafsky, D. (2016). Deep Reinforcement Learning for Dialogue Generation. ArXiv:1606.01541. Retrieved from https://aclweb.org/anthology/D16-1127
[8] Artificial Neural Networks (ANN).( Updated Mar 9, 2018). Retrieved from https://www.investopedia.com/terms/a/artificial-neural-networks-ann.asp
[9] TOP 5 BOTS TO GET YOU FIT . (Oct 10, 2016). Retrieved from https://www.topbots.com/top-5-best-fitness-bots-fitness-apps/
[10] GymBot. Retrieved from https://gymbot.io/
[11] Abdul-Kader, S., & Woods, J. (2015). Survey on Chatbot Design Techniques in Speech Conversation Systems. International Journal of Advanced Computer Science and Applications, 6(7). http://doi.org/10.14569/ijacsa.2015.060712