A happy visitor or not? Training SENSIOM on museum visitors-related datasets for sentiment analysis (5)


Friday, April 05, 2019: 1:00pm - 2:00pm - Constitution: Demonstrations 3

Georgios Papaioannou, Ionian University, Greece, Greece

This talk will present the processes we follow to train the SENSIOM data dashboard for sentiment analysis. The SENSION has been one of the outcomes of the Museum Big Data Research Project in Qatar, initiated in 2017 at University College London in Qatar. It is a dynamic multi-functional data dashboard on Museum Big Data to serve research needs on Negative/Neutral/Positive sentiment analysis and analysis on museum visitors’ views on different museum-related topics, such as price of tickets, queue, other assets and issues. Sentiment analysis is benchmarked against other museums and/or cultural institutions and hotspots. We train SENSION via museum visitors-related Big datasets to produce accurate and valid results.

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