November 14, 2025PeerJ Computer ScienceOpen Access

Predicting emerging trends: a machine learning approach to topic popularity on social media

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Authors

ZWZhe Wu YLYong Liao CLChen Luo

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Implication

Binary classification predicts future topic popularity in social media, highlighting forecasting applications for marketing and public opinion analysis.

Key Points

Predicting future topic popularity in social media can enhance marketing strategies and public opinion analysis.
The model utilizes binary classification to assess trends and demonstrate significant accuracy levels.
An approach integrating machine learning and binary classification was employed to analyze social media trends effectively.
This framework supports effective content recommendations based on emerging trends in social media.

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Wu et al. (2025) studied this question.

synapsesocial.com/papers/692519a2c0ce034ddc353c0a https://doi.org/10.7717/peerj-cs.3245

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Implication

Binary classification predicts future topic popularity in social media, highlighting forecasting applications for marketing and public opinion analysis.

Predicting emerging trends: a machine learning approach to topic popularity on social media

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Member takes

Implication

Key Points

Cite This Study

Predicting emerging trends: a machine learning approach to topic popularity on social media

Discussion

Member takes

Implication

Key Points

Cite This Study

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