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Title	Sentiment Analysis Of Social Media Platforms For Safety In Smart Cities
ID_Doc	48460
Authors	Dutt S.; Ruchi; Rihal A.; Menon G.; Yadav J.; Kumari N.; Majgahe S.P.
Year	2023
Published	Lecture Notes in Networks and Systems, 516
DOI	http://dx.doi.org/10.1007/978-981-19-5221-0_44
Abstract	With the advent of information communications technology (ICT), online exchange of information and opinions is common on the Internet. The sentiment analysis on social media networks like Facebook, Twitter, etc., has turned into a reliable method for ascertaining the users’ opinions encompassing different scenarios. Sentiment analysis is extremely useful to calculate and find out public sentiments and, overall, assist in better decision-making. Sentiment analysis comes under artificial intelligence. The paper presents its applications in the context of safety and event detection in smart cities. It describes data acquisition and data analysis in short. It also discusses the future possibilities and applications of sentiment analysis as a whole. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Artificial intelligence (AI); Natural language processing (NLP); Safety; Security; Sentiment analysis; Smart cities

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