Ge Huang
Biographic Data
| ID | 7928884 |
|---|---|
| NAME | Ge Huang |
| GIVEN NAMES | Ge |
| FAMILY NAME | Huang |
| SIGNATURE | HUANG G |
| AFFILIATIONS | National University of Defense Technology |
| ORCID | 0000-0001-5866-8554 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The allure of self-help
This article examines the complexities of self-help in trade unions and the writing of Samuel Smiles. Trade unions are often assumed to be self-help institutions. Smiles is assumed to be a conservative individualist who wrote against trade unions. This article seeks to explore how far their ideas on self-help overlapped and where the divisions in their discourses were. This is undertaken through an examination of their texts quantitatively and qu…
Study of the Economic, Environmental, and Social Factors Affecting Chinese Residents' Health Based on Machine Learning
The Healthy China Strategy puts realistic demands for residents' health levels, but the reality is that various factors can affect health. In order to clarify which factors have a great impact on residents' health, based on China's provincial panel data from 2011 to 2018, this paper selects 17 characteristic variables from the three levels of economy, environment, and society and uses the XG boost algorithm and Random forest algorithm based on re…
Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued
Gay men in many countries are increasingly using geosocial networking applications (GSN apps), thus offering new opportunities for understanding them. This paper provides a comprehensive content analysis of posts and opinions on Blued, the world's largest gay social networking dating app, to infer and compare opinions and behavioral characteristics of gay men in different countries. Machine learning and linguistic programming approaches were used…
No prominent works on this page.
Inferring Opinions and Behavioral Characteristics of Gay Men with Large Scale Multilingual Text from Blued
Gay men in many countries are increasingly using geosocial networking applications (GSN apps), thus offering new opportunities for understanding them. This paper provides a comprehensive content analysis of posts and opinions on Blued, the world's largest gay social networking dating app, to infer and compare opinions and behavioral characteristics of gay men in different countries. Machine learning and linguistic programming approaches were used…
Study of the Economic, Environmental, and Social Factors Affecting Chinese Residents' Health Based on Machine Learning
The Healthy China Strategy puts realistic demands for residents' health levels, but the reality is that various factors can affect health. In order to clarify which factors have a great impact on residents' health, based on China's provincial panel data from 2011 to 2018, this paper selects 17 characteristic variables from the three levels of economy, environment, and society and uses the XG boost algorithm and Random forest algorithm based on re…
The allure of self-help
This article examines the complexities of self-help in trade unions and the writing of Samuel Smiles. Trade unions are often assumed to be self-help institutions. Smiles is assumed to be a conservative individualist who wrote against trade unions. This article seeks to explore how far their ideas on self-help overlapped and where the divisions in their discourses were. This is undertaken through an examination of their texts quantitatively and qu…
Geography (2 works) · Air Quality and Health Impacts (1 work) · Business (1 work) · Cartography (1 work) · China (1 work) · Colonial History and Postcolonial Studies (1 work) · Computational and Text Analysis Methods (1 work) · Digital Economy and Work Transformation (1 work) · Econometrics (1 work) · Economic growth (1 work)