calculate_exclusivity

Calculates the exclusivity metric for topics, measuring how uniquely
words are distributed across topics.

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

SportMiner

Text Mining and Topic Modeling for Sport Science Literature

calculate_exclusivity function

<dl><dt>phi</dt>
<dd>Topic-word probability matrix (topics x terms).</dd>
<dt>top_n</dt>
<dd>Number of top words to consider per topic. Default is 10.</dd></dl>

Arguments

Calculate Topic Exclusivity — calculate_exclusivity

<dl>

<dt>phi</dt>
<dd>Topic-word probability matrix (topics x terms).</dd>


<dt>top_n</dt>
<dd>Number of top words to consider per topic. Default is 10.</dd>

</dl>

calculate_exclusivity: Calculate Topic Exclusivity

Description

Usage

Value

Arguments