Analysis of attitudes and opinions of users of social networks regarding super apps

This bachelor thesis focused on the analysis of social network users' attitudes and opinions regarding super apps. It employed natural language processing (NLP) methods such as exploratory data analysis, sentiment analysis, topic modeling, and word frequency analysis. Superapps are revolutionising the digital world by being able to incorporate a wide range of services into a single interface, which basically changes the way users interact with technology. The thesis examined the platforms YouTube and Twitter (now X), which, in principle, offer different perspectives on discussions. The results of topic modelling and sentiment analysis showed that YouTube discussions are significantly more negative and often focus on geopolitical topics, Chinese context and users' personal experiences. On Twitter (now X), on the other hand, the conversation tended to be neutral to positive in sentiment and dominated by technology and financial topics such as fintech, digital payments, and banking innovations. However, both platforms shared an interest in super apps like WeChat, Alipay or Revolut and their impact on everyday life. At the same time, it was confirmed that the way people talk about superapps is strongly influenced by the platform's environment. The thesis demonstrated that in order to better understand public opinion on digital innovation, it is important to monitor multiple different platforms, because each of them offers a slightly different perspective. The findings of this thesis can be useful not only for developers and companies, but also for researchers working on the topics of digital society and new technologies.