Online Chatbot System

Authors

  • Tejashwini Mushinamwar  Department of Information Technology,RTMNU University, Nagpur, Maharashtra, India
  • Prof R. R. Kolte  Department of Information Technology,RTMNU University, Nagpur, Maharashtra, India
  • Ashwini Gawande  Department of Information Technology,RTMNU University, Nagpur, Maharashtra, India
  • Kirti Mendhe  Department of Information Technology,RTMNU University, Nagpur, Maharashtra, India
  • Neha Tarare  Department of Information Technology,RTMNU University, Nagpur, Maharashtra, India

Keywords:

Artificial Intelligence,Best Pair, Knowledge,Ecommerce.

Abstract

A chatbot is a technique used in android and Web based technique. The basic feature of chatbot is, it replies properly for the queries given by the end user. We try to extract the best pairs of chatbot knowledge from online communication which leads to get knowledge more from a specific area, we used based classification by related threads. We give ranks for the pairs squirm from the online discussion. Finally we select top most N pairs for the chatbot knowledge which helps for better communication of end user and this

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International Journal of Scientific Research in Science and Technology

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Published

2018-01-30

Issue

Volume 4, Issue 3, January-February-2018

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Tejashwini Mushinamwar, Prof R. R. Kolte, Ashwini Gawande, Kirti Mendhe, Neha Tarare, " Online Chatbot System, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 3, pp.307-310, January-February-2018.