Social Sciences → Social Sciences → General Social Sciences
Computational and Text Analysis Methods
This cluster of papers focuses on the application of computational text analysis methods, such as topic modeling, machine learning, and natural language processing, in social science research. It explores the use of these methods for quantitative analysis of textual data, automated content classification, and uncovering patterns and trends in large text corpora.
46K works worldwide148.2K citations
Computational Text AnalysisTopic ModelingMachine LearningSocial Science ResearchText Data MethodsQuantitative AnalysisContent AnalysisNatural Language ProcessingBig DataAutomated Text Classification
Journals publishing in this area
Articles on Scinovex in this research area
2 articles, most cited first
- Path analysis: An overview and its application in social sciencesInternational Journal of Agriculture Extension and Social Development · 2024 · 7 citations · AI summary
- Stability Analysis for Grain Yield and Yield Attributing Traits in Rabi Sorghum (Sorghum bicolor L. Moench)International Journal of Agriculture and Food Science · 2025 · 0 citations
