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Social Trend Mining: Lead or Lag

Authors :
Hassani, H.
Komendantova, N.
Rovenskaya, E.
Yeganegi, R.
Hassani, H.
Komendantova, N.
Rovenskaya, E.
Yeganegi, R.
Publication Year :
2023

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.

Details

Database :
OAIster
Notes :
text, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1412388785
Document Type :
Electronic Resource