Sentiment analysis, social networks analysis, and social media sensing are becoming important tools adopted in different contexts, ranging from social interactions, touristic activities, shopping and e-commerce, and so on. In particular, in these days, they are showing their potential as a way to let the people communicate and keep in touch during the CoVid-19 quarantine, and to monitor and understand people mood and feelings. On the one hand, privacy issues and international laws and acts drive such analysis (e.g. GDPR), with the aim of protecting persons' privacy and security. On the other hand, these can limit somehow such activities. Hence, a precise and accurate identification of the strategies to adopt should be done with the aim of balancing privacy issues and sentiment analysis activities. Taking into account the requirements of a Urban Innovation Action project, which is based on the active involvement of citizens, this work aims to describe limitations and potentialities of social networks monitoring and analysis to understand users' mood about the project actions adopted in the city of Ravenna (in Italy) to improve specific areas.