Open Access   Article Go Back

Automated Query handling system based on Deep Learning Technique

Jeetu Kumar Gupta1 , Sohit Agarwal2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 734-738, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.734738

Online published on May 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, “Automated Query handling system based on Deep Learning Technique,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.734-738, 2019.

MLA Style Citation: Jeetu Kumar Gupta, Sohit Agarwal "Automated Query handling system based on Deep Learning Technique." International Journal of Computer Sciences and Engineering 7.5 (2019): 734-738.

APA Style Citation: Jeetu Kumar Gupta, Sohit Agarwal, (2019). Automated Query handling system based on Deep Learning Technique. International Journal of Computer Sciences and Engineering, 7(5), 734-738.

BibTex Style Citation:
@article{Gupta_2019,
author = {Jeetu Kumar Gupta, Sohit Agarwal},
title = {Automated Query handling system based on Deep Learning Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {734-738},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4307},
doi = {https://doi.org/10.26438/ijcse/v7i5.734738}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.734738}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4307
TI - Automated Query handling system based on Deep Learning Technique
T2 - International Journal of Computer Sciences and Engineering
AU - Jeetu Kumar Gupta, Sohit Agarwal
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 734-738
IS - 5
VL - 7
SN - 2347-2693
ER -

VIEWS PDF XML
481 265 downloads 155 downloads
  
  
           

Abstract

From data extraction to movie recommendation, spam filtrating to bank fraud detection and object detection to self-driving cars these are all being possible due to the term Deep Learning. This term is being a buzz word in the tech industry. Deep Learning is based on Machine Learning and Artificial Intelligent models, which helps in building the model more efficiently and access the data accurately. The buzz word is always seeming to be in news, many types of research and inventions are going on. People are not aware of the term Deep Learning. This technique takes decisions so preciously to make our day to day life so easy and efficient. In this research paper, we will elaborate the term Deep Learning, what it is, what is going on at the backend, how it works, what are its potential, how it helping the people’s life to industry world and what is the application of it.

Key-Words / Index Term

Deep Learning, Neural Network, A.I, Machine Learning, chatbot, LSTM, CNN, RNN

References

[1] J K Gupta and S Agarwal ― An Epitome of Chatbot: A Review Paper Vol.-7, Issue-1, Jan 2019
[2] Bhagwat, Vyas Ajay, "Deep Learning for Chatbots" (2018)
[3] Fundamentals of Deep Learning – Activation Functions and When to Use Them? (OCTOBER 23, 2017). Retrieved from https://www.analyticsvidhya.com/blog/2017/10/fundamentals-deeplearning-activation-functions-when-to-use-them/
[4] Greg Surma ―Leveraging Convolutional Neural Networks (CNNs) and Google Colab’s Free GPU Nov 19, 2018
[5] Yann LeCun, Leon Bottou, Genevieve B. Orr, and Klaus-Robert Muller "Efficient BackProp" (1998)
[6] Adam Gibson, Josh Patterson ― https://www.oreilly.com/library/view/deep-learning/9781491924570/assets/dpln_0401.png August 2017
[7] Prabhu, Understanding of Convolutional Neural Network (CNN) — Deep Learning, Mar 4, 2018
[8] Sumit Saha, A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way, Dec 15, 2018
[9] J. L. Chen, Z. P. Li, J. Pan, G. G. Chen, Y. Y. Zi, J. Yuan, B. Q. Chen, Z. J. He, "Wavelet transform based on inner product in fault diagnosis of rotating machinery: a review", Mechanical Systems and Signal Processing, vol. 70-71, pp. 1-35, 2016
[10] Niklas Donges, Recurrent Neural Networks and LSTM, Feb 26, 2018 [online] https://towardsdatascience.com/recurrent-neural-networks-and-lstm-4b601dd822a5
[11] Neural Networks and Deep Learning, "Why are deep neural networks hard to train?," [Online]. Available: http://neuralnetworksanddeeplearning.com/chap5.html
[12] Deeksha Singh, Sohit Agarwal, IMAGE ENHANCEMENT OF BREAST CANCER MEDICAL IMAGES, VOLUME 4, ISSUE 1, 2018
[13] Garg, Mahima and Agrawal, Sohit and Goyal, Dinesh, Theoretical Study on Big Data with Data Mining (May 7, 2018). Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018. Available at SSRN: https://ssrn.com/abstract=3174732 or http://dx.doi.org/10.2139/ssrn.3174732