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    A Smart Virtual Assistant Answering Questions about COVID-19
    (Institute of Electrical and Electronics Engineers Inc., 2020) Ugurlu, Yusuf; Karabulut, Murat; Mayda, Islam
    Numerous information and news put forward by different sources during the COVID-19 pandemic have caused many questions about the epidemic in people's minds. In this study, a smart virtual assistant was developed in order to eliminate this information pollution about COVID-19 and to give correct answers to people's questions with information obtained from reliable sources. Intelligent virtual assistants are question answering system software that enable people to get answers easily and quickly to their questions curious about. The use of these virtual assistants is becoming widespread all over the world in many fields, especially in education, e-commerce, tourism, finance and health. However, the number of question-answering system studies on Turkish is very few and insufficient. In fact, no question-answering study was found in the field of health that is presented for Turkish in the literature. The smart virtual assistant presented within the scope of this study is a first in this respect. This smart virtual assistant answers two different types of questions. The first of these is frequently asked information questions about COVID-19 among the people. The second is the questions about numerical data such as number of COVID-19 cases, number of deaths, number of tests, etc. of countries in the world. It has been observed that the developed virtual assistant can answer the vast majority of users' questions about COVID-19. It is thought that this smart virtual assistant could be useful in fighting the COVID-19 pandemic. © 2020 IEEE.
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    Öğe
    Artificial Intelligence Supported Turkish University Virtual Assistant
    (Institute of Electrical and Electronics Engineers Inc., 2021) Ugurlu, Yusuf; Karabulut, Murat
    Today, it is known that processes such as artificial intelligence, data mining and data processing are gaining more and more value. There are many algorithms and learning models in artificial intelligence processes. It is important that these models are selected according to the data that is desired to get the meaning, and also the data is prepared according to the model to be used in training. It is observed that artificial intelligence makes analytical approaches and facilitates and accelerates different studies in different sectors with automated structures, thus providing a significant savings in terms of cost and labor. These structures are making a name for themselves in different businesses and sectors, from recommendation systems to health services. Intelligent virtual assistants are at the forefront of these automated structures. Intelligent virtual assistants are also known as chatbots. In this study, a smart virtual assistant has been developed that can answer the most frequently asked questions about the university, such as department, fee, academic staff, transportation, and scholarship opportunities. For the data set to be used in the study, 387 different questions were collected from the frequently asked questions on the official websites of 70 different universities in Turkey. In addition to these questions, the dataset includes 4 daily speaking questions and a total of 391 different questions. In addition to the existing questions, variations of the questions were produced to strengthen the training data, and a total of 1236 questions were prepared. The most important difference of this study from similar smart virtual assistant applications is that it is specific to the Turkish language. Thanks to the flexibility of the platform, the developed smart virtual assistant can serve university students in the preferred period both through the mobile application and the website. It is thought that the performance of the smart virtual assistant, which was revealed within the scope of the study, can be increased by enriching the data set in the future and it can provide one-to-one counseling support to the students throughout the education process. © 2021 IEEE.