We managed four datasets: Twitter messages, Barcelona accidents, building use information and plots information.

From Twitter we extracted the messages contains unhappy word like: sad, sadness, cry, crying, but we didn’t include world like ‘shit’ because we think that might be represent of angry emotion rather than unhappy.

From Barcelona accidents datasets, we filter the accidents happened in Poblenou area, where the unhappy things happened.

We used the building-use information and plot information to extract the buildings with potential negative feelings like social service center, hospitals and cemetery.

We overlapped the four databases to find places where the most negative feeling happened, like where accidents, injury, violence happened.

With this analysis we found a very unhappy place in the neighborhood, close to the cemetery.

UNHAPPY: Heartbroken in Poblenou is a project of IaaC, Institute for Advanced Architecture of Catalonia
developed at Master in City and Technology, City Data Interpretation in 2015 by:
Students: Chiara Dall’Olio, Chenguai Zhou
Faculty: Mar Santamaría, Pablo Martínez