Social Media, Topic Modeling and Sentiment Analysis in Municipal Decision Support

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F23%3A10253055" target="_blank" >RIV/61989100:27510/23:10253055 - isvavai.cz</a>
Result on the web
<a href="https://annals-csis.org/proceedings/2023/drp/1479.html" target="_blank" >https://annals-csis.org/proceedings/2023/drp/1479.html</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15439/2023F1479" target="_blank" >10.15439/2023F1479</a>

Result language
angličtina
Original language name
Social Media, Topic Modeling and Sentiment Analysis in Municipal Decision Support
Original language description
Many cities around the world are aspiring to become smart. However, smart initiatives often give little weight to the opinions of average citizens. One reason is the difficulty and high cost of opinion collection process. Social media are one of many sources of citizen opinions. This paper presents a prototype of a framework for processing social media posts with municipal decision-making in mind. The framework consists of a sequence of three steps: (1) determining the sentiment polarity of each social media post (2) extracting topics being discussed in a set of social media posts and creating a mapping between identified topics and individual posts, and (3) aggregating these two pieces of information into a triangular fuzzy number representing the overall sentiment expressed to- wards each topic. Optionally, the triangular fuzzy number can be reduced into a tuple of two real numbers indicating the "amount" of positive and negative opinion expressed towards each topic. Framework functionality is demonstrated on tweets published from Ostrava, Czechia over a period of about two months. This application illustrates that the resulting TFNs represent sentiment in a richer way, also capturing the diversity or controversy of opinions expressed on social media.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 18th Conference on Computer Science and Intelligence Systems : September 17–20, 2023, Warsaw, Poland
ISBN
978-83-967447-8-4
ISSN
2300-5963
e-ISSN
2300-5963
Number of pages
5
Pages from-to
1235-1239
Publisher name
Polskie Towarzystwo Informatyczne
Place of publication
Varšava
Event location
Varšava
Event date
Sep 17, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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