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Chatbots, most notably the generative pre-trained transformer for chat (ChatGPT), have seamlessly integrated into our daily lives. Nearly every website now features a chatbot, emulating human interaction to dispense information and address inquiries. While chatbots appear in diverse forms, including physical embodiments and voice-responsive systems, our emphasis is on software-based chatbots proficient in leveraging Natural Language Processing (NLP) to understand text and provide textual responses. This paper employs a systematic review methodology for article selection, listing the most relevant and recent publications related to chatbots, with a particular focus on works cantered on ChatGPT. Furthermore, the selected articles are categorized, and prevailing publication trends are examined. This endeavor aims to offer a valuable compendium of literature for scholars and educators interested in the domain of NLP and its associated Artificial Intelligence techniques.
Elhiny et al. (Sat,) studied this question.
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