Predicting competitive Pokémon VGC leads using Latent Semantic Analysis: a data-driven approach to team matchups

Carli, B.L. (2025) Predicting competitive Pokémon VGC leads using Latent Semantic Analysis: a data-driven approach to team matchups. Journal of Geek Studies 12(2): 75-83.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-11
DOI
https://doi.org/10.5281/zenodo.15808330
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting competitive Pokémon VGC leads using Latent Semantic Analysis: a data-driven approach to team matchups

Zenodo (CERN European Organization for Nuclear Research)
Artificial Intelligence in Games
article

Predicting competitive Pokémon VGC leads using Latent Semantic Analysis: a data-driven approach to team matchups

article en

Abstract

Carli, B.L. (2025) Predicting competitive Pokémon VGC leads using Latent Semantic Analysis: a data-driven approach to team matchups. Journal of Geek Studies 12(2): 75-83.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 74%
Artificial Intelligence in Games
DOIOpen Access PDFOpenAlex
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Predicting competitive Pokémon VGC leads using Latent Semantic Analysis: a data-driven approach to team matchups · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS