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Using Sentiment Analysis of Twitter Data for Determining Popularity of City Locations

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2018
Authors
Dinkić, Nikola
Džaković, Nikola
Joković, Jugoslav
Stoimenov, L.
Đukić, Aleksandra
Conference object (Published version)
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Abstract
The paper considers mining and analyzing data generated by Twitter social network, regarding content classification, language determination and sentiment analysis of tweets. Analyzes are based on geospatial tweets collected in timespan of four months within region Vracar in Belgrade, Serbia. All of collected data is first being preprocessed, filtered and classified by given criteria, by using "Twitter search engine" (TSE) application, that has been upgraded in order to detect tweet language and execute sentiment analysis of the tweets written in English. This type of analysis can be used for determining popularity of city locations of interest and public spaces in general.
Keywords:
Geospatial data / Natural language processing / Sentiment analysis and opinion mining / Twitter social network
Source:
ICT innovations 2016: cognitive functions and next generation ICT systems, 2018, 665, 156-164
Publisher:
  • Springer Verlag

DOI: 10.1007/978-3-319-68855-8_15

ISSN: 2194-5357

WoS: 000448429600015

Scopus: 2-s2.0-85031736676
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URI
http://raf.arh.bg.ac.rs/handle/123456789/298
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  • Publikacije istraživača / Researchers' publications
Institution
Arhitektonski fakultet

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