Abstract
Smart cities have millions of sensors and innovative technologies in order to improve the quality of their citizens and to increase the competitiveness of urban infrastructure. Nowadays these citizens like to communicate using social media such as Facebook and Twitter, thus building a smart city is not free from these platforms that have changed citizen’s daily life and becoming a new source of real-time information. These data are named Big Data and are difficult to process with classical methods. To exploit this data, it must be well-processed to cover a wide range of smart city functions, including energy, transportation, environment, security and smart city management. The aim of this paper is to highlight the advantages of social media sentiment analytics to support smart city by detecting various events and concerns of citizens.
Towards the end, an illustrative scenario analyses data on citizens’ concerns about traffic in three main cities in Morocco.
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Dahbi, M., Saadane, R., Mbarki, S. (2020). Citizen Sentiment Analysis in Social Media Moroccan Dialect as Case Study. In: Ben Ahmed, M., Boudhir, A., Santos, D., El Aroussi, M., Karas, İ. (eds) Innovations in Smart Cities Applications Edition 3. SCA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-37629-1_2
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