Parenthood mining using hashtag social network mining approach |
|
Author: | Wang, Xiaowen1; Oussalah, Mourad2; Niemelä, Mika3; |
Organizations: |
1Center for Machine Vision and Signals Analysis (CMVS), University of Oulu, Oulu, Finland 2Research Unit of Medical Imaging, Physics and Technology & CMVS, University of Oulu, Oulu, Finland 3Center for Life-long Health Research Unit, University of Oulu, Oulu, Finland
4Itla Children's Foundation, ITLA, Helsinki, Finland
|
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.6 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe20231025141285 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
|
Publish Date: | 2023-10-25 |
Description: |
AbstractLow birth phenomenon is a global trend with an important economic and societal consequences that stress global and holistic initiatives in western countries. This paper attempts to contribute to this issue by developing an original approach to mine parenthood patterns from Twitter social media platform. Relevant hashtags are employed to develop a social network-based approach to distinguish relevant communities. The three relevant online communities were identified. We conducted a topical based analysis to comprehend the discussion trend and sentiment analysis to further monitor issues of parenthood concerns. Examples of concerns raised by the community analysis include anxiety in autism parenting, stress in single parenting, college loans, and debts in pandemic time. see all
|
Series: |
International Conference on Computational Science and Computational Intelligence |
ISSN: | 2769-5670 |
ISSN-E: | 2769-5654 |
ISSN-L: | 2769-5654 |
ISBN: | 979-8-3503-2028-2 |
ISBN Print: | 979-8-3503-2029-9 |
Pages: | 779 - 784 |
DOI: | 10.1109/CSCI58124.2022.00142 |
OADOI: | https://oadoi.org/10.1109/CSCI58124.2022.00142 |
Host publication: |
2022 International Conference on Computational Science and Computational Intelligence CSCI 2022, 14-16 December 2022, Las Vegas, United States : proceedings |
Conference: |
International Conference on Computational Science and Computational Intelligence |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
217 Medical engineering 113 Computer and information sciences |
Subjects: | |
Funding: |
This work is partly supported by Finland Itla Children's Foundation (Itsenäisyyden juhlavuoden Iastensäätiö) and Academy of Finland DigiHealth (#326292) which are gratefully acknowledged. |
Copyright information: |
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |