Predicting Frequently Asked Questions (FAQs) on the COVID-19 Chatbot using the DIET Classifier

Astuti, Wistiani; Putri, Desy Pratiwi Ika; Wibawa, Aji Prasetya; Salim, Yulita; Purnawansyah,; Ghosh, Avirup

doi:10.1109/eiconcit50028.2021.9431913

Cited by 13 publications

(3 citation statements)

References 12 publications

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“…Astuti et al [19] developed a chatbot COVID-19 cases. The RASA framework is used in this study to predict chatbot replies to questions regarding COVID-19, and the DIET Classifier is used for training.…”

Section: Methods Detailsmentioning

confidence: 99%

MedLingua: A conceptual framework for a multilingual medical conversational agent

Himel,

Hasan,

Salsabil

et al. 2024

MethodsX

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Section: Methods Detailsmentioning

confidence: 99%

MedLingua: A conceptual framework for a multilingual medical conversational agent

Himel,

Hasan,

Salsabil

et al. 2024

MethodsX

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“…Several previous studies have added artificial intelligence to building chatbots. One of which is creating a chatbot related to Covid-19 [9]. Other research is also being carried out in building chatbots with artificial intelligence, namely a classification method to identify intentions rather than user input, it is called purpose classification in the chatbot system [10].…”

Section: Introductionmentioning

confidence: 99%

Virtual Route Guide Chatbot Based on Random Forest Classifier

Basid,

Hariri,

Nugroho

et al. 2023

IJACSA

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Improvements in the quality of tourism services and the number of human resources will affect the quality of social services and information services provided to foreign tourists, thereby enhancing the quality of services offered regarding tourist destination information in the Malang Raya area. Considering the urgency of foreign tourists in obtaining information related to directions, routes, and access roads to their desired tourist destinations, especially in East Java, due to limited data from the government agencies handling the tourism sector, as well as the difficulty in communication with residents who may not understand what is being communicated by foreign tourists. Therefore, the need for an interactive chatbot to assist in obtaining routes and access information to the desired tourist destinations will facilitate foreign tourists. To improve the accuracy of the chatbot's ability to answer sentence selection, the use of artificial intelligence, specifically the Random Forest Classifier, is necessary. This study obtained the highest accuracy value using a tree quantity of 200, a maximum tree depth of 20, and a minimum sample split of 5. Using these quantities resulted in an accuracy of 95.88%, precision of 96.29%, recall of 96.03%, and f-measure of 96.16%.

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“…For the query-answering task, they upload architectural stages to the BERT. W. Astuti et al (2021) In the sphere of herbal language processing, the chatbot is a famous dialogue gadget (NLP). Chatbots are designed to facilitate conversations among human beings and machines.…”

Section: Introductionmentioning

confidence: 99%

Medbot

Ghadge

Patankar

Doke

2022

ijhs

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Although the majority of persons who get COVID-19 recover completely, current evidence suggests that 10% to 20% of those who recover experience a variety of mid- and long-term symptoms after their initial sickness. In the system Medbot: Artificial Intelligence based Interactive Chatbot for assisting with Telephonic Health Checkup Service after COVID-19, we use the NLP technique. Patients who use this system after finishing the Covid-19 must log in whenever they have symptoms. Patients use this system to get therapy at home, and if their symptoms are too severe, the system will refer them to a doctor. Patients can book appointments with doctors following Covid-19 if the chatbot gives a list of doctors. In this system, we use the FL approach to get accurate results. We guarantee 98.47 % while utilizing our technology.

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Predicting Frequently Asked Questions (FAQs) on the COVID-19 Chatbot using the DIET Classifier

Cited by 13 publications

References 12 publications

MedLingua: A conceptual framework for a multilingual medical conversational agent

MedLingua: A conceptual framework for a multilingual medical conversational agent

Virtual Route Guide Chatbot Based on Random Forest Classifier

Medbot

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