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Mapping urban emotions based on social networks data for detecting factors of well-being dynamics. / Чижик, Анна Владимировна; Егоров, Мичил Прокопьевич; Видясова, Л.А.

ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery, 2023. p. 464-466.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Чижик, АВ, Егоров, МП & Видясова, ЛА 2023, Mapping urban emotions based on social networks data for detecting factors of well-being dynamics. in ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery, pp. 464-466, 16th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2023), Belo Horizonte, Brazil, 26/09/23. https://doi.org/10.1145/3614321.3614394

APA

Чижик, А. В., Егоров, М. П., & Видясова, Л. А. (2023). Mapping urban emotions based on social networks data for detecting factors of well-being dynamics. In ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance (pp. 464-466). Association for Computing Machinery. https://doi.org/10.1145/3614321.3614394

Vancouver

Чижик АВ, Егоров МП, Видясова ЛА. Mapping urban emotions based on social networks data for detecting factors of well-being dynamics. In ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery. 2023. p. 464-466 https://doi.org/10.1145/3614321.3614394

Author

Чижик, Анна Владимировна ; Егоров, Мичил Прокопьевич ; Видясова, Л.А. / Mapping urban emotions based on social networks data for detecting factors of well-being dynamics. ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance. Association for Computing Machinery, 2023. pp. 464-466

BibTeX

@inproceedings{2dd5f469e9b046ebace93a80c04b741f,
title = "Mapping urban emotions based on social networks data for detecting factors of well-being dynamics",
abstract = "The paper presents the results of the study focused on the possibilities of analyzing the users{\textquoteright} discussions content, as well as their moods with reference to geolocation. The research data was collected from social network VKontakte. The data was distributed to city districts detecting citizens{\textquoteright} emotions in posts and reactions to them. As a result, the labeled dataset with two new features: the sentiment class and the percentage of attitude towards the class (used for further mapping) was created. The results of the work are useful for use in the process of urban management and planning the development of territories.",
author = "Чижик, {Анна Владимировна} and Егоров, {Мичил Прокопьевич} and Л.А. Видясова",
year = "2023",
doi = "10.1145/3614321.3614394",
language = "English",
pages = "464--466",
booktitle = "ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance",
publisher = "Association for Computing Machinery",
address = "United States",
note = "null ; Conference date: 26-09-2023 Through 29-09-2023",

}

RIS

TY - GEN

T1 - Mapping urban emotions based on social networks data for detecting factors of well-being dynamics

AU - Чижик, Анна Владимировна

AU - Егоров, Мичил Прокопьевич

AU - Видясова, Л.А.

PY - 2023

Y1 - 2023

N2 - The paper presents the results of the study focused on the possibilities of analyzing the users’ discussions content, as well as their moods with reference to geolocation. The research data was collected from social network VKontakte. The data was distributed to city districts detecting citizens’ emotions in posts and reactions to them. As a result, the labeled dataset with two new features: the sentiment class and the percentage of attitude towards the class (used for further mapping) was created. The results of the work are useful for use in the process of urban management and planning the development of territories.

AB - The paper presents the results of the study focused on the possibilities of analyzing the users’ discussions content, as well as their moods with reference to geolocation. The research data was collected from social network VKontakte. The data was distributed to city districts detecting citizens’ emotions in posts and reactions to them. As a result, the labeled dataset with two new features: the sentiment class and the percentage of attitude towards the class (used for further mapping) was created. The results of the work are useful for use in the process of urban management and planning the development of territories.

U2 - 10.1145/3614321.3614394

DO - 10.1145/3614321.3614394

M3 - Conference contribution

SP - 464

EP - 466

BT - ICEGOV '23: Proceedings of the 16th International Conference on Theory and Practice of Electronic Governance

PB - Association for Computing Machinery

Y2 - 26 September 2023 through 29 September 2023

ER -

ID: 116024504