AI ART IN MOBILE: TOPIC MODELING OF USER REVIEWS FOR GENERATIVE AI APPLICATIONS

Authors : Fatih Pınarbaşı

Pages : 101-113

Doi:10.17130/ijmeb.1498188

View : 35 | Download : 36

Publication Date : 2024-10-30

Article Type : Research

Abstract :The generative AI concept, which enables users to create text, image, and video content through prompts, is revolutionizing the content side and AI applications in marketing. Despite the increasing popularity of generative AI applications, the market perception regarding generative AI remains underexplored. This study aims to explore the generative AI market perception through the context of mobile applications with the help of user reviews. The study follows a structured approach including identifying the generative AI mobile applications, assessing the context through rating scores and install amounts of mobile applications, and using a topic modeling approach (BerTopic) for online reviews to identify the topics included in the conversation. 8159 user reviews from 22 mobile applications are used as sample of the study and the average rating score for the sample found as 4,06 which signals a positive perception of market. The study concludes top ten topics as; “Dissatisfaction About Amount of Advertisements in app”, “NSFW Content and Moderation”, “Praise of Application”, “Functionality Problems & Crashes”, “Payment Necessity and Trial Problems”, “In-App Purchase Restoration Problems”, “Specific Feature in App”, “Chat Function”, “Credit System” and “Excess of Ads”. The study reveals the main issues of Ai Art mobile applications for marketing decision-making processes.
Keywords : Yapay Zeka Sanatı, Üretken Yapay Zeka, Yapay Zeka, Mobil Uygulamalar, Kullanıcı Değerlendirmeleri