Author
Harshkumar Patel
Bio: Harshkumar Patel is an academic researcher from K. J. Somaiya College of Engineering. The author has contributed to research in topics: Chatbot & Context (language use). The author has an hindex of 1, co-authored 1 publications receiving 18 citations.
Papers
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20 Apr 2018
TL;DR: This method uses TensorFlow for developing the neural network model of the chatbot and uses the nlp techniques to maintain the context of the conversation to reduce need of human labour and expenditure.
Abstract: Chatbots are software used in entertainment industry, businesses and user support. Chatbots are modeled on various techniques such as knowledge base, machine learning based. Machine learning based chatbots yields more practical results. Chatbot which gives responses based on the context of conversation tends to be more user friendly. The chatbot we are proposing demonstrates a method of developing chatbot which can follow the context of the conversation. This method uses TensorFlow for developing the neural network model of the chatbot and uses the nlp techniques to maintain the context of the conversation. This chatbots can be used in small industries or business for automating customer care as user queries will be handled by chatbots thus reducing need of human labour and expenditure.
31 citations
Cited by
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TL;DR: A systematic literature review that encompasses business perspectives such as domains, goals, and challenges, and computational methods for self-learning, personalization, and response generation of conversational agents looks through the use of machine learning to improve the field of business.
58 citations
TL;DR: In this paper , a survey of recent advances on chatbots, where Artificial Intelligence and Natural Language Processing (NLP) are used, highlights the main challenges and limitations of current work and makes recommendations for future research investigation.
Abstract: Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms from two Artificial Intelligence domains: Natural Language Processing and Machine Learning. However, there are many challenges and limitations in their application. In this survey we review recent advances on chatbots, where Artificial Intelligence and Natural Language processing are used. We highlight the main challenges and limitations of current work and make recommendations for future research investigation.
50 citations
04 Mar 2021
TL;DR: In this paper, the authors discuss the possible effects of the upcoming WIPO regulation on international business and discuss the potential impact of AI on the operations of international business in 2019.
Abstract: Artificial intelligence (AI) has quickly become a technology that serves public, commercial, and research purposes. By all expectations, AI will increasingly have a significant impact on the operations of international business. On December 13, 2019, the World Intellectual Property Organization (WIPO) invited member states and other multilateral institutions to contribute to the generation of guidelines that seek to regulate the application of AI within the intellectual property system. In this chapter, the authors discuss the possible effects of the upcoming WIPO regulation on international business.
23 citations
TL;DR: A framework and functionality of a chatbot developed using web technologies that can be a better solution for data extraction from local hospital which functioning as a good communication channel for both users and hospital staff and helpful in reducing the crowd is presented.
14 citations
01 Nov 2019
TL;DR: A new recommendation approach is proposed, centered primarily on the use of a custom chatbot which can be linked to Moodle's platform using a web configuration and able to answer learner's queries in real-time and provide a relevant set of suggestions according to their needs.
Abstract: Recommending the most suitable educational resources has always been a challenge in the field of E-Learning. This challenge has pushed educators and researchers to implement new ideas to help learners improve their learning and their knowledge. New solutions are using Artificial Intelligence (AI) techniques such as Machine Learning (ML) and Natural Language Processing (NLP). In this paper, we propose and describe a new recommendation approach, centered primarily on the use of a custom chatbot which can be linked to Moodle's platform using a web configuration. A chatbot is an automated communication tool, based on intents and designed to emulate communication capabilities and conduct a conversation with individuals. The proposed system should be able to answer learner's queries in real-time and able to provide a relevant set of suggestions according to their needs.
12 citations