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.15808329
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
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)
Openalex Percentile: Top 75%
Artificial Intelligence in Games
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

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