@MASTERSTHESIS{ 2021:2015694267,
 	title = {Visual analysis approach for brands perception on social media},
 	year = {2021},
 	url = "http://tede2.pucrs.br/tede2/handle/tede/9974",
 	abstract = "Due to the exponential growth and the quick feedback provided, Social Media has become an important information source for many areas. The thousands of data generated daily transformed Social Media into a reliable, fast, and relatively low-cost data source. So, brands note that they could use Social Media data as a marketing tool to obtain quick feedback about their products and services. However, analyzing a brand thru its Social Media is not a trivial task and raises challenges like data gathering and data analysis. To benefit from Social Media data, brands need tools that help them understand the vast amount of generated data. These tools need to be easy-to-use for brands managers that do not have programming knowledge. Thus, the objective of this work is to provide a visual analysis approach with several interactive visualization techniques to help brands obtain insights about the collected data from three social networks: Twitter, Instagram, and YouTube. Our approach provides a pipeline that can be easily extended and used without needing programming knowledge. Furthermore, three case studies are presented to demonstrate possible insights that can be identified using our approach.",
 	publisher = {Pontif?cia Universidade Cat?lica do Rio Grande do Sul},
 	scholl = {Programa de P?s-Gradua??o em Ci?ncia da Computa??o},
 	note = {Escola Polit?cnica}
}