Akademik Veri Yönetim Sistemi
International Journal of Computing and Digital Systems , cilt.13, sa.1, ss.223-230, 2023 (Scopus)
There are approximately 6.4 billion mobile users in today’s world. With this widespread use, people now prefer devices that
are easier to carry and use, such as mobile devices. At this point, mobile applications play a very important role. Mobile applications are
preferred for many purposes, especially for entertainment, education and social activities. In foreign language learning, there are hundreds
of mobile applications that contain different activities for many foreign languages. Duolingo is an application that stands out in terms of
providing many foreign language support and learning by gamification. Users of this application, which has such a widespread use, give
feedback with their ratings and comments. More than one million comments have been left on the Duolingo app so far. This study was
carried out in order to analyze these comments and to determine which points the users bring to the fore, and to provide preliminary
information for both software developers and those who want to look for similar applications based on these points. The comments
were analyzed by the Latent Dirichlet Allocation (LDA) method using the Python programming language and NLTK, Gensim libraries.
The topics detected by both the word bag term frequency and the term frequency-inverse document frequency (TF-IDF) method are shown.