Virtual Assistance Using Chatbots

Authors

  • Kavitha KV Dept. of Computer Science and Engineering, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram (Kerala)- 695018, India
  • Pillai AS Dept. of Computer Science and Engineering, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram (Kerala)- 695018, India
  • Majithia DD Dept. of Computer Science and Engineering, Sree Chitra Thirunal College of Engineering, Thiruvananthapuram (Kerala)- 695018, India

DOI:

https://doi.org/10.26438/ijcse/v7i10.7780

Keywords:

Artificial Intelligence, NLP, ML

Abstract

In the recent era of technology, chatbots is the next big thing in the epoch of conversational services. It acts as the ultimate virtual assistant for completing various tasks ranging from answering queries, getting driving directions, turning up the thermostat in smart home, to playing one’s favorite tunes etc. Whenever faced with unchartered territories humans have a tendency to get anxious and it is but natural- and even more so in the case of students who are about to join a new course. They are always filled with endless queries and mostly all of them are similar across people. Rather than flooding a single person with all those and to answer them over and over again, it is apt to segregate usual common queries and their solutions at a single place which is easily accessible by all. In this paper an efficient Chabot is designed based on neural network, which provides an accurate answer for any query based on the dataset of FAQs. This Chabot can be used by Sree Chitra Thirunal College of Engineering to answer frequently asked questions to curious students in an interactive fashion. The accuracy of the bot was noted to be 0.78 with a loss of 2.06.

References

[1] C.B.Lee, H. N, "Chatbots and Conversational Agents: A Bibliometric Analysis", IEEE International Conference on Industrial Engineering and Engineering Management, 2017.

[2] Thomas N T Amrita, “ An E-business Chatbot using AIML and LSA”, Intl. Conference on Advances in Computing, Communications and Informatics, 2016.

[3] A M Rahman, Abdullah Al Mamun, Alma Islam, "Programming challenges of Chatbot: Current and Future Prospective" ,IEEE International Islamic University Chittagong, 2016.

[4] BayuSetiaji, Ferry WahyuWibowo , "Chatbot Using A Knowledge in Database Human-to-Machine Conversation Modeling" International Conference on Intelligent Systems, Modelling and Simulation, 2016.

[5] Bhavika R. RanoliyaNidhiRaghuwanshi, Sanjay Singh Department of Information and Communication Technology Manipal University, "Chatbot for University Related FAQs" , International Conference on Advances in Computing, Communications and Informatics, 2017.

[6] Eric Grigori, "Evaluation of Modern Tools for an OMSCS Advisor Chatbot" Georgia Institute of Technology Atlanta, 2017.

[7] Luis Fernando D’Haro and Rafael E. Banchs, "Learning to predict the adequacy of answers in chat oriented human agent dialogs" IEEE Region 10 Conference (TENCON), Malaysia, 2017.

Downloads

Published

2019-10-31
CITATION
DOI: 10.26438/ijcse/v7i10.7780
Published: 2019-10-31

How to Cite

[1]
K. Kavitha, A. S. Pillai, and D. D. Majithia, “Virtual Assistance Using Chatbots”, Int. J. Comp. Sci. Eng., vol. 7, no. 10, pp. 77–80, Oct. 2019.

Issue

Section

Research Article