JeKa – The intelligent Chatbots using Various Algorithms

Authors

  • Ms. S. Abarna   Assistant Professor, Department of Computer Science and Engineering, Grace College of Engineering, Tuticorin, Tamil Nadu, India
  • E. Jeremiah  UG Student, Department of Computer Science and Engineering, Grace College of Engineering, Tuticorin, Tamil Nadu, India
  • S. Karthik  UG Student, Department of Computer Science and Engineering, Grace College of Engineering, Tuticorin, Tamil Nadu, India

Keywords:

Artificial Intelligence, Chatbot, Natural Language Processing, LSTM, HEIM, Sequence to Sequence, RNN, Pattern Matching, Naïve Bayes.

Abstract

Machines are working similar to humans because of advanced technological concepts. Best example is chatbot which depends on advanced concepts in computer science. Chatbots serve as a medium for the communication between human and machine. There are a number of chatbots and design techniques available in market that perform different function and can be implemented in sectors like business sector, medical sector, farming etc. The technology used for the advancement of conversational agent is natural language processing (NLP). Due to these advancements in artificial intelligence concepts, the precision and perfection has been greatly improved, chatbots have become a good and optimal option for many organizations. There is also a chatbot system in the travel sector which collects user searches and provides appropriate search results, but still the research is going on to improve customer satisfaction. We introduce the background of chatbots so as to get an idea of how chatbots have been developed. This paper also gives a brief look on recent design techniques used and thus one can get to know what advancements can still be done in the chatbot system for various sectors.

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Published

2021-04-10

Issue

Section

Research Articles

How to Cite

[1]
Ms. S. Abarna , E. Jeremiah, S. Karthik, " JeKa – The intelligent Chatbots using Various Algorithms, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 9, Issue 1, pp.855-863, March-April-2021.