Parenthood mining using hashtag social network mining approach
Wang, Xiaowen; Oussalah, Mourad; Niemelä, Mika; Ristikari, Tiina (2023-08-25)
X. Wang, M. Oussalah, M. Niemelä and T. Ristikari, "Parenthood Mining Using Hashtag Social Network Mining Approach," 2022 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2022, pp. 779-784, doi: 10.1109/CSCI58124.2022.00142
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https://urn.fi/URN:NBN:fi-fe20231025141285
Tiivistelmä
Abstract
Low 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.
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