R-universe - praveenmaths89 (praveenmaths89)

SportMiner - Text Mining and Topic Modeling for Sport Science Literature

A comprehensive toolkit for mining, analyzing, and visualizing scientific literature in sport science domains. Provides functions for retrieving abstracts from 'Scopus', preprocessing text data, performing advanced topic modeling using Latent Dirichlet Allocation ('LDA'), Structural Topic Models ('STM'), and Correlated Topic Models ('CTM'), and creating publication-ready visualizations including keyword co-occurrence networks and topic trends. For methodological details see Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993> for 'LDA', Roberts et al. (2014) <doi:10.1111/ajps.12103> for 'STM', and Blei and Lafferty (2007) <doi:10.1214/07-AOAS114> for 'CTM'.

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biomechanicsphdsports-science

4.48 score 214 downloads

vald.extractor - Robust Pipeline for 'VALD' 'ForceDecks' Data Extraction and Analysis

Provides a robust and reproducible pipeline for extracting, cleaning, and analyzing athlete performance data generated by 'VALD' 'ForceDecks' systems. The package supports batch-oriented data processing for large datasets, standardized data transformation workflows, and visualization utilities for sports science research and performance monitoring. It is designed to facilitate reproducible analysis across multiple sports with comprehensive documentation and error handling.

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biomechanicsphdsports-sciencevald

4.18 score 1 stars 213 downloads