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Title	Social Media Sentiment Monitoring In Smart Cities An Application To Moroccan Dialects
ID_Doc	52027
Authors	Dahbi, M; Saadane, R; Mbarki, S
Year	2019
Published	4TH INTERNATIONAL CONFERENCE ON SMART CITY APPLICATIONS (SCA' 19)
DOI	http://dx.doi.org/10.1145/3368756.3368997
Abstract	Smart cities utilize different devices not only to solve the increasingly serious urban resource shortage, environmental pollution, traffic congestion, security risks but also to identify concerns of citizens. Building a smart city is not free from using social networks that have changed citizen's daily life and becoming a new source of real-time information, so there is no doubt that sentiment analysis can contribute as important decision support. we take these challenges by presenting a set of features that have been used with machine learning techniques, sentiment analysis, text classification to extract the intelligence needed from social media feeds containing Moroccan dialects. A case scenario analyses the opinions of users concerning the traffic in three cities in Morocco is illustrated in the following.
Author Keywords	Smart cities; Sentiment analysis; Social media; Machine learning; Moroccan dialect

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