Bilingual Chatbot For Covid-19 Detection Based on Symptoms Using Rasa NLU

被引：0

作者：

Mellah, Youssef ^{[1
]}

Bouchentouf, Toumi ^{[2
]}

Rahmoun, Noureddine ^{[2
]}

Rahmoun, Mohammed ^{[2
]}

机构：

[1] SupMTI, SupMTI Oujda Res Lab, Oujda, Morocco

[2] Univ Mohammed Premier, LaRSA ENSAO, Oujda, Morocco

来源：

2022 2ND INTERNATIONAL CONFERENCE ON INNOVATIVE RESEARCH IN APPLIED SCIENCE, ENGINEERING AND TECHNOLOGY (IRASET'2022) | 2022年

关键词：

Conversational agents; Chatbots; Covid-19; Natural Language Understanding (NLU); Natural Language Processing (NLP); Rasa Framework; DIAGNOSIS;

D O I：

10.1109/IRASET52964.2022.9738103

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Accessibility to medical knowledge and healthcare costs are the two major impediments for the common man. Conversational agents like Medical Chatbots, which are designed keeping in view medical applications can potentially address these issues. Chatbots can either be generic of specificin nature. Covid-19 is a communicable disease and early detection of it can let people know about the serious consequences of this disorder and help save human lives. In this article, we present a specific text-to-text Chatbot that engagespatients in the conversation using advanced Natural Language Understanding (NLU) and Natural Language Processing (NLP) techniques using Rasa Framework, to provide a personalized prediction based on the various symptoms sought from the patient. The Chatbot handles two languages: Arabic and French, then according to the analysis result, it suggests measures and actions be taken in order to serve life and prevent the spread of this virus which has devastated the whole world.

引用

页码：553 / 557

页数：5

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