Aggregating Twitter Text through Generalized Linear Regression Models for Tweet Popularity Prediction and Automatic Topic Classification

Aggregating Twitter Text through Generalized Linear Regression Models for Tweet Popularity Prediction and Automatic Topic Classification

Social media platforms have become accessible resources for health data analysis. However, the advanced computational techniques involved in big data text mining and analysis are challenging for public health data analysts to apply. This study proposes and explores the feasibility of a novel yet str...

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Bibliographic Details
Main Authors: Chen Mo, Jingjing Yin, Isaac Chun-Hai Fung, Zion Tsz Ho Tse
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:European Journal of Investigation in Health, Psychology and Education
Subjects:
regression
social network
text data
document term matrix
odds ratio
relative risk
Online Access:https://www.mdpi.com/2254-9625/11/4/109

Internet

https://www.mdpi.com/2254-9625/11/4/109

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