Affiliation:
1. International Institute for Applied Systems Analysis (IIASA), Schloßpl. 1, 2361 Laxenburg, Austria
Abstract
This research underscores the profound implications of Social Intelligence Mining, notably employing open access data and Google Search engine data for trend discernment. Utilizing advanced analytical methodologies, including wavelet coherence analysis and phase difference, hidden relationships and patterns within social data were revealed. These techniques furnish an enriched comprehension of social phenomena dynamics, bolstering decision-making processes. The study’s versatility extends across myriad domains, offering insights into public sentiment and the foresight for strategic approaches. The findings suggest immense potential in Social Intelligence Mining to influence strategies, foster innovation, and add value across diverse sectors.
Subject
Artificial Intelligence,Computer Science Applications,Information Systems,Management Information Systems
Reference39 articles.
1. Hassani, H., Huang, X., MacFeely, S., and Entezarian, M.R. (2021). Big Data and the United Nations Sustainable Development Goals (UN SDGs) at a Glance. Big Data Cogn. Comput., 5.
2. Hassani, H., Huang, X., and Silva, E. (2019). Big Data and Climate Change. Big Data Cogn. Comput., 3.
3. (2023, September 15). Google Trend. Available online: Https://trends.google.com/.
4. Google Trends as a leading indicator of the real economy;McCracken;J. Monet. Econ.,2016
5. Google Trends as a proxy for tourism demand: An empirical study;Li;Tour. Manag.,2016
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Unveiling the waves of mis- and disinformation from social media;International Journal of Modeling, Simulation, and Scientific Computing;2024-05-25
2. Social Intelligence Mining: Unlocking Insights from X;Machine Learning and Knowledge Extraction;2023-12-11