03297ntm a22005057i 4500 000725249 CZ-PrVSE 20251004070006.0 m d cr n|||||||||| 251004s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Nováková, Andrea ISIS:133966 dis Návrh a implementace řešení pro analýzu online recenzí restaurací rychlého občerstvení eng DESIGN AND IMPLEMENTATION OF AN ONLINE REVIEW ANALYTICS SOLUTION FOR QUICK-SERVICE RESTAURANTS / Andrea Nováková 2025 ?? stran : digital, PDF soubor Vedoucí práce: Miloš Maryška Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2025 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2025 In the quick-service restaurant (QSR) industry, customer satisfaction is crucial for retaining current customers and attracting new ones. The growing use of digital platforms has fundamentally reshaped the way consumers share and access information; electronic word-of-mouth, especially in the form of online reviews, has become one of the most influential factors in diners’ restaurant selection. Reviews are an invaluable source of information not only for potential customers but also for businesses, as they provide direct insight into customer satisfaction and performance gaps. Building on prior research that identifies food quality, service quality, physical environment, and price as the primary drivers of customer satisfaction, this thesis proposes the design and implementation of an analytics solution that transforms unstructured online reviews into operational intelligence for QSRs. Developed in Keboola, the automated data pipeline collects publicly available reviews from Google Maps and Yelp and analyzes them to uncover sentiment trends and recurring themes. The results are visualized in an interactive Streamlit dashboard that enables managers to benchmark performance across locations and identify areas for improvement. Způsob přístupu: Internet data a analytika pro business [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas customer satisfaction online reviews natural language processing sentiment analysis Maryška, Miloš ola2012698940 ths Sládek, Pavel ISIS:5134 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/92817/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/92817 Hlavní práce https://insis.vse.cz/zp/92817/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/92817/posudek/oponent/88348 Oponentura https://insis.vse.cz/zp/92817/podrobnosti dc:identifier NEPOSILAT VSKP vse92817 250930 92817