Extraction of hidden topics in urban context based on the Internet publications analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F22%3A00130437" target="_blank" >RIV/00216224:14310/22:00130437 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.procs.2022.10.204" target="_blank" >https://doi.org/10.1016/j.procs.2022.10.204</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2022.10.204" target="_blank" >10.1016/j.procs.2022.10.204</a>
Alternative languages
Result language
angličtina
Original language name
Extraction of hidden topics in urban context based on the Internet publications analysis
Original language description
The problem considered in the article is the systematic lack of data on the objects of the urban environment for management and decision-making. This problem is particularly acute in the lack of data on points of attraction, informal and thematic places of interest. At the same time, this kind of information is necessary for the qualitative development of the urban environment. This article discusses an approach to creating new information resources based on the analysis of publications and messages of citizens, which can be used to effectively manage the development of the city and improve the quality of the urban environment. For example, to create new centers of attraction for citizens and tourists and effective landscaping. Currently, there is a public demand for the semantic content of the urban environment, considering historical and cultural associations, informal symbols. Traditionally, this request is met through surveys of the population in urban improvement projects. This article presents an approach to supplementing such surveys with information from Internet social networks processed by natural language analysis methods to extract hidden topics and thematic objects of the urban environment. The approach is demonstrated based on the example of the city of St. Petersburg in the Russian Federation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10100 - Mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science
ISBN
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ISSN
1877-0509
e-ISSN
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Number of pages
11
Pages from-to
23-33
Publisher name
Elsevier
Place of publication
Amsterdam
Event location
St. Petersburg, Virtual
Event date
Sep 5, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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