NLP for Chatbot Application: Tools and Techniques Used for Chatbot Application, NLP Techniques for Chatbot, Implementation

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Author(s): Shyamala Devi Nithyanandam (VISTAS, India), Sharmila Kasinathan (VISTAS, India), Devi Radhakrishnan (VISTAS, India)and Jebathangam Jebapandian (VISTAS, India)
Copyright: 2021
Pages: 27
Source title: Deep Natural Language Processing and AI Applications for Industry 5.0
Source Author(s)/Editor(s): Poonam Tanwar (Manav Rachna International Institute of Research and Studies, India), Arti Saxena (Manav Rachna International Institute of Research and Studies, India)and C. Priya (Vels Institute of Science, Technology, and Advanced Studies, India)
DOI: 10.4018/978-1-7998-7728-8.ch008

Keywords: Artificial Intelligence / Engineering Science Reference / Knowledge Management and Library Science / Natural Language Processing

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Abstract

The chatbot is one of the increasing number applications in the era of conversational series. It is a virtual application that can efficiently interact with any human being using the deep natural language processing skills. In NLP, for chatbot application, the various techniques needed for chatbot using NLTK tool are explained and implemented. The process of converting the text to numerical value is called text embedding. In NLTK tool, various text embedding tools are available such as TF-IDF vectorization and bag of words. Deep NLP is an efficient way to implement the chatbot. Thus the chatbot is implemented with sequence-to-sequence networks.

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