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Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach paper by Independent / Community
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Paper

Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach

by Independent / Community 000dada0c2c63e81ec84d163ec19ed7eebabc1ba
Free2AITools Nexus Index
65.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 76
P: Popularity 51
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance —

This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study investigates the influence of economic indicators such as GDP per capita, government expenditure, government revenue, and unemployment rates on gender disparities. The analysis reveals that higher GD...

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Semantic Scholar 10 Citations
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Registry ID 000dada0c2c63e81ec84d163ec19ed7eebabc1ba
License ArXiv
Provider semantic_scholar
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Cite this paper

Academic & Research Attribution

BibTeX 
@misc{000dada0c2c63e81ec84d163ec19ed7eebabc1ba,
  author = {Unknown},
  title = {Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/000dada0c2c63e81ec84d163ec19ed7eebabc1ba}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach [Paper]. Free2AITools. https://api.semanticscholar.org/000dada0c2c63e81ec84d163ec19ed7eebabc1ba

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βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 76
Popularity (P) 51
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach: Authority (A:76), Popularity (P:51), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study investigates the influence of economic indicators such as GDP per capita, government expenditure, government revenue, and unemployment rates on gender disparities. The analysis reveals that higher GD..."

❝ Cite Node 

@article{Unknown2026Analyzing,
  title={Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ10CitationsSemantic Scholar
πŸ›οΈ76AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
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source
semantic_scholar
author
Unknown
license
ArXiv
tags
paper, research, academic

βš™οΈ Technical Specs

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null
params billions
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citations
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