Chatbot Using Deep Learning

Authors

  • Shashank Joshi  Computer Science, Vishwakarma Institute of Technology, Pune, India
  • Sandeep Shinde  Computer Science, Vishwakarma Institute of Technology, Pune, India
  • Prerna Shinde  Computer Science, Vishwakarma Institute of Technology, Pune, India
  • Neha Sagar  Computer Science, Vishwakarma Institute of Technology, Pune, India
  • Sairam Rathod  Computer Science, Vishwakarma Institute of Technology, Pune, India

DOI:

https://doi.org/10.32628/CSEIT2390148

Keywords:

LSTM, tenserflow, Seq2Seq model, Attention mechanism

Abstract

In this paper we have proposed the working of Assistant conversational agent(Chatbot) using deep learning concepts with the utilization of tensorflow library. The LSTM is used overhere, so that the input taken with more than 30-40 words in a sentence canbe replied or answerd with more adequate conversation. The movie dataset used to train the model is taken from Cornell. The model isdesigned to perform a movie dialogue prediction conversation between the user and chatbot. The main aim is to increase the accuracy and estimation of the model. In the proposed model, we have developed a Seq2Seq AI Chatbot with attention mechanism using LSTM and libraries like tenserflow.

References

  1. G. K. Vamsi, A. Rasool and G. Hajela, "Chatbot: A Deep Neural Network Based Human to Machine Conversation Model," 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020.
  2. H. Wang, Z. Lu, H. Li, and E. Chen, (2013). A dataset for research on short-text conversations. In EMNLP.
  3. Oriol Vinyals and Quoc V. Le. “A Neural Conversational Model”, 2015
  4. P. Kandpal, K. Jasnani, R. Raut and S. Bhorge, "Contextual Chatbot for Healthcare Purposes (using Deep Learning)," 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), 2020.
  5. Sordoni et al. and Shang et al. “Recurrent neural network to model dialogue in short conversations”, 2015.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-02-28

Issue

Volume 9, Issue 1, January-February-2023

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Shashank Joshi, Sandeep Shinde, Prerna Shinde, Neha Sagar, Sairam Rathod, " Chatbot Using Deep Learning" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 1, pp.228-232, January-February-2023. Available at doi : https://doi.org/10.32628/CSEIT2390148