TY  - CONF
AU  - Džaković, Nikola
AU  - Dinkić, Nikola
AU  - Joković, Jugoslav
AU  - Stoimenov, Leonid
AU  - Djukić, Aleksandra
PY  - 2018
UR  - https://raf.arh.bg.ac.rs/handle/123456789/2152
AB  - Predmet istraživanja u ovom radu je analiza
mogućnosti primene podataka sa društvene mreže
Twitter, za analizu turističkih potencijala kulturno
istrorijskih objekata i njihove umreženosti sa urbanim
sredinama. Za potrebe obrade podataka i odgovarajuće
analize kreirana je Web aplikacija koja koristi Twitter
REST API kao sredstvo komunikacije sa tom društvenom
mrežom. Prikupljeni podaci za lokacije Smederevske i
Golubačke tvrđave, filtrirani su i klasifikovani prema
zadatim kriterijumima koji se odnose na prostornu i
vremensku raspodelu, kao i semantičku i analizu sadržaja
za potrebe istraživanja atraktivnosti razmatranih objekata
odnosno otvorenih prostora.

Abstract - Purpose of this paper is analysis of the ability
to use data from the social network Twitter for determining
tourist potential of cultural and historical locations and
their networking with urban areas. For needs of this
analyses a Web application was created, which uses
Twitter REST API as a medium for communication with
this social network. Data gather for fortresses of
Smederevo and Golubac was filtered and classified based
on time and space criteria, but also based on semantic
and content analysis in order to determine attractiveness
of the considered locations or open spaces.
PB  - Beograd : Društvo za informacione sisteme i računarske mreže
C3  - Zbornik radova [Elektronski izvor] / YU INFO 2018, 24th Conference and exhibition, Kopaonik
T1  - Primena web aplikacije za obradu padataka sa društvene mreže Twitter za analizu turističkih potencijala – studija slučaja Smederevska i Golubačka tvrđava
T1  - Using of web Application for Data Processing from Twitter Social Network for Analyse of Tourist Potential – Case study: Smederevo and Golubac Fortress
SP  - 31
EP  - 35
UR  - https://hdl.handle.net/21.15107/rcub_raf_2152
ER  - 

@conference{
author = "Džaković, Nikola and Dinkić, Nikola and Joković, Jugoslav and Stoimenov, Leonid and Djukić, Aleksandra",
year = "2018",
abstract = "Predmet istraživanja u ovom radu je analiza
mogućnosti primene podataka sa društvene mreže
Twitter, za analizu turističkih potencijala kulturno
istrorijskih objekata i njihove umreženosti sa urbanim
sredinama. Za potrebe obrade podataka i odgovarajuće
analize kreirana je Web aplikacija koja koristi Twitter
REST API kao sredstvo komunikacije sa tom društvenom
mrežom. Prikupljeni podaci za lokacije Smederevske i
Golubačke tvrđave, filtrirani su i klasifikovani prema
zadatim kriterijumima koji se odnose na prostornu i
vremensku raspodelu, kao i semantičku i analizu sadržaja
za potrebe istraživanja atraktivnosti razmatranih objekata
odnosno otvorenih prostora.

Abstract - Purpose of this paper is analysis of the ability
to use data from the social network Twitter for determining
tourist potential of cultural and historical locations and
their networking with urban areas. For needs of this
analyses a Web application was created, which uses
Twitter REST API as a medium for communication with
this social network. Data gather for fortresses of
Smederevo and Golubac was filtered and classified based
on time and space criteria, but also based on semantic
and content analysis in order to determine attractiveness
of the considered locations or open spaces.",
publisher = "Beograd : Društvo za informacione sisteme i računarske mreže",
journal = "Zbornik radova [Elektronski izvor] / YU INFO 2018, 24th Conference and exhibition, Kopaonik",
title = "Primena web aplikacije za obradu padataka sa društvene mreže Twitter za analizu turističkih potencijala – studija slučaja Smederevska i Golubačka tvrđava, Using of web Application for Data Processing from Twitter Social Network for Analyse of Tourist Potential – Case study: Smederevo and Golubac Fortress",
pages = "31-35",
url = "https://hdl.handle.net/21.15107/rcub_raf_2152"
}

Džaković, N., Dinkić, N., Joković, J., Stoimenov, L.,& Djukić, A.. (2018). Primena web aplikacije za obradu padataka sa društvene mreže Twitter za analizu turističkih potencijala – studija slučaja Smederevska i Golubačka tvrđava. in Zbornik radova [Elektronski izvor] / YU INFO 2018, 24th Conference and exhibition, Kopaonik
Beograd : Društvo za informacione sisteme i računarske mreže., 31-35.
https://hdl.handle.net/21.15107/rcub_raf_2152

Džaković N, Dinkić N, Joković J, Stoimenov L, Djukić A. Primena web aplikacije za obradu padataka sa društvene mreže Twitter za analizu turističkih potencijala – studija slučaja Smederevska i Golubačka tvrđava. in Zbornik radova [Elektronski izvor] / YU INFO 2018, 24th Conference and exhibition, Kopaonik. 2018;:31-35.
https://hdl.handle.net/21.15107/rcub_raf_2152 .

Džaković, Nikola, Dinkić, Nikola, Joković, Jugoslav, Stoimenov, Leonid, Djukić, Aleksandra, "Primena web aplikacije za obradu padataka sa društvene mreže Twitter za analizu turističkih potencijala – studija slučaja Smederevska i Golubačka tvrđava" in Zbornik radova [Elektronski izvor] / YU INFO 2018, 24th Conference and exhibition, Kopaonik (2018):31-35,
https://hdl.handle.net/21.15107/rcub_raf_2152 .

TY  - CONF
AU  - Dinkić, Nikola
AU  - Džaković, Nikola
AU  - Joković, Jugoslav
AU  - Stoimenov, L.
AU  - Đukić, Aleksandra
PY  - 2018
UR  - https://raf.arh.bg.ac.rs/handle/123456789/298
AB  - 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.
PB  - Springer Verlag
C3  - ICT innovations 2016: cognitive functions and next generation ICT systems
T1  - Using Sentiment Analysis of Twitter Data for Determining Popularity of City Locations
VL  - 665
SP  - 156
EP  - 164
DO  - 10.1007/978-3-319-68855-8_15
ER  - 

@conference{
author = "Dinkić, Nikola and Džaković, Nikola and Joković, Jugoslav and Stoimenov, L. and Đukić, Aleksandra",
year = "2018",
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.",
publisher = "Springer Verlag",
journal = "ICT innovations 2016: cognitive functions and next generation ICT systems",
title = "Using Sentiment Analysis of Twitter Data for Determining Popularity of City Locations",
volume = "665",
pages = "156-164",
doi = "10.1007/978-3-319-68855-8_15"
}

Dinkić, N., Džaković, N., Joković, J., Stoimenov, L.,& Đukić, A.. (2018). Using Sentiment Analysis of Twitter Data for Determining Popularity of City Locations. in ICT innovations 2016: cognitive functions and next generation ICT systems
Springer Verlag., 665, 156-164.
https://doi.org/10.1007/978-3-319-68855-8_15

Dinkić N, Džaković N, Joković J, Stoimenov L, Đukić A. Using Sentiment Analysis of Twitter Data for Determining Popularity of City Locations. in ICT innovations 2016: cognitive functions and next generation ICT systems. 2018;665:156-164.
doi:10.1007/978-3-319-68855-8_15 .

Dinkić, Nikola, Džaković, Nikola, Joković, Jugoslav, Stoimenov, L., Đukić, Aleksandra, "Using Sentiment Analysis of Twitter Data for Determining Popularity of City Locations" in ICT innovations 2016: cognitive functions and next generation ICT systems, 665 (2018):156-164,
https://doi.org/10.1007/978-3-319-68855-8_15 . .

TY  - CONF
AU  - Džaković, Nikola
AU  - Dinkić, Nikola
AU  - Joković, Jugoslav
AU  - Stoimenov, Leonid
AU  - Đukić, Aleksandra
PY  - 2018
UR  - https://raf.arh.bg.ac.rs/handle/123456789/638
AB  - The ICT supported methodology for properly determine attractiveness of public spaces has
been an important tool in fields like urban planning, transport, marketing, business, migration
and tourism. The use of Twitter data is very interesting to make analysis of how people use
urban open spaces and what is the geographical pattern of their communications. Since the
Twitter is a massive platform for online communication within extremely diverse social groups,
with data generated by users of this network it is possible to research the spatiotemporal dynamics
of location and different aspects of users’ behaviour.
The paper concerns the study of user-generated twitter data that could support and improve the
understanding of spatial patterns for urban planning and (re)design of public spaces. The data
generated by Twitter social network are analysed, regarding temporal and spatial distribution,
content classification, language determination and sentiment analyses. The data based on
geo-referenced tweets collected in Belgrade, has been pre-processed, filtered and classified
by given criteria, by using “Twitter search engine” (TSE) web application based on Twitter
REST API.
PB  - Belgrade : University, Faculty of Architecture
C3  - Conference Proceedings [Elektronski izvor] / 5th international Academic Conference on Places and Technologies, [Belgrade]
T1  - Analyses of public spaces in Belgrade using geo-referenced twitter data
SP  - 205
EP  - 211
UR  - https://hdl.handle.net/21.15107/rcub_raf_638
ER  - 

@conference{
author = "Džaković, Nikola and Dinkić, Nikola and Joković, Jugoslav and Stoimenov, Leonid and Đukić, Aleksandra",
year = "2018",
abstract = "The ICT supported methodology for properly determine attractiveness of public spaces has
been an important tool in fields like urban planning, transport, marketing, business, migration
and tourism. The use of Twitter data is very interesting to make analysis of how people use
urban open spaces and what is the geographical pattern of their communications. Since the
Twitter is a massive platform for online communication within extremely diverse social groups,
with data generated by users of this network it is possible to research the spatiotemporal dynamics
of location and different aspects of users’ behaviour.
The paper concerns the study of user-generated twitter data that could support and improve the
understanding of spatial patterns for urban planning and (re)design of public spaces. The data
generated by Twitter social network are analysed, regarding temporal and spatial distribution,
content classification, language determination and sentiment analyses. The data based on
geo-referenced tweets collected in Belgrade, has been pre-processed, filtered and classified
by given criteria, by using “Twitter search engine” (TSE) web application based on Twitter
REST API.",
publisher = "Belgrade : University, Faculty of Architecture",
journal = "Conference Proceedings [Elektronski izvor] / 5th international Academic Conference on Places and Technologies, [Belgrade]",
title = "Analyses of public spaces in Belgrade using geo-referenced twitter data",
pages = "205-211",
url = "https://hdl.handle.net/21.15107/rcub_raf_638"
}

Džaković, N., Dinkić, N., Joković, J., Stoimenov, L.,& Đukić, A.. (2018). Analyses of public spaces in Belgrade using geo-referenced twitter data. in Conference Proceedings [Elektronski izvor] / 5th international Academic Conference on Places and Technologies, [Belgrade]
Belgrade : University, Faculty of Architecture., 205-211.
https://hdl.handle.net/21.15107/rcub_raf_638

Džaković N, Dinkić N, Joković J, Stoimenov L, Đukić A. Analyses of public spaces in Belgrade using geo-referenced twitter data. in Conference Proceedings [Elektronski izvor] / 5th international Academic Conference on Places and Technologies, [Belgrade]. 2018;:205-211.
https://hdl.handle.net/21.15107/rcub_raf_638 .

Džaković, Nikola, Dinkić, Nikola, Joković, Jugoslav, Stoimenov, Leonid, Đukić, Aleksandra, "Analyses of public spaces in Belgrade using geo-referenced twitter data" in Conference Proceedings [Elektronski izvor] / 5th international Academic Conference on Places and Technologies, [Belgrade] (2018):205-211,
https://hdl.handle.net/21.15107/rcub_raf_638 .