Výkonnost cloudových platforem při určení sentimentu

The objective of this bachelor’s thesis is to conduct an experimental analysis of the performance of various cloud platforms designed to determine sentiment in social media posts. The study will focus on assessing the efficiency, reliability, and scalability of these platforms based on predefined criteria and identifying their strengths and weaknesses. As a secondary objective, the influence of different sentiment analysis models on the results will be explored. The experiment will be conducted with at least three different cloud platforms and will use at least three different sentiment analysis models across at least five datasets. The results will be presented and interpreted to provide a comprehensive overview of sentiment analysis in the context of social media and others sites and evaluate the effectiveness of cloud technologies for this task. This thesis aims to contribute to a deeper understanding of how cloud-based tools can be utilized for efficient processing of large volumes of data and accurate sentiment analysis in social media.