Abstract
NLP, or natural language processing, is an area of artificial intelligence that has been studied for more than 50 years and allows computers to comprehend human language. NLP interprets and makes sense of spoken or written natural language inputs using AI algorithms. Data preprocessing and algorithm development, which include tasks like tokenization, parsing, lemmatization, and part-of-speech tagging, are the two fundamental aspects of NLP. This break language down into smaller parts and make an effort to comprehend the connections between them. Improved documentation, better human-machine interaction, and personal assistants that can interpret natural language are all advantages of NLP.
In this paper, we will concentrate on one particular use of NLP: creating chatbots that can converse with people. NLP and programming languages like Python and JavaScript were used to create a chatbot. In order to build a better user interface, JavaScript was employed, while Python was used to implement the NLP algorithms and process the inputs in natural language. With this example, we want to show how NLP can be used to build engaging, user-friendly chatbots that can converse with people in a natural way.
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Jarquin, C.A., Cai, Y., Lu, I., Wong, YH. (2023). Apply Natural Language Processing-Chatbot on Industry 4.0. In: Coman, A., Vasilache, S. (eds) Social Computing and Social Media. HCII 2023. Lecture Notes in Computer Science, vol 14025. Springer, Cham. https://doi.org/10.1007/978-3-031-35915-6_25
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DOI: https://doi.org/10.1007/978-3-031-35915-6_25
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