scale_y_reordered

internal

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'.

Praveen D Chougale

scale_y_reordered: Helper: Scale for Reordered Terms

Description

Usage

Arguments