@inproceedings{oliveira_sambavis_2020, address = {Norrköping, Sweden}, title = {{SAMBAVis}: {Design} {Study} of a {Visual} {Analytics} {Tool} for the {Music} {Industry} {Powered} by {YouTube} {Comments}}, url = {https://doi.org/10/gjhw}, doi = {10/gjhw}, abstract = {Data from comments on social media platforms offer valuable information about trends and market changes. Aiming at the music industry, we propose SAMBAVis: a visual analytics tool to handle user-generated content from comments left on YouTube music videos. SAMBAVis displays main key performance indexes, video lifecycle, and engagement with comments. It also performs sentiment analysis and extracts the main keywords from the comments, expanding YouTube capabilities. In this paper, we contribute with a design study, explaining the development of SAMBAVis and the rationale of our design. We present a usage scenario and reflect on our methods and results when creating a visualization tool for experts in the music business.}, language = {en}, booktitle = {Eurovis 2020}, author = {Oliveira, Victor A. De J. and Stoiber, Christina and Grüblbauer, Johanna and Musik, Christoph and Ringot, Alexis and Gebesmair, Andreas}, year = {2020}, note = {Projekt: SAMBA}, keywords = {Data Science, Digital Media, Eintrag überprüfen, FH SP Data Analytics \& Visual Computing, Forschungsgruppe Media Business, Forschungsgruppe Media Computing, Green OA, Human-Computer Interaction, Institut für Creative Media Technologies, Open Access, Visual Computing, peer-reviewed}, }