Effect of Dimension Size and Window Size on Word Embedding in Classification Tasks

Background: Static word embedding models such as Word2Vec and GloVe remain widely used in natural language processing, yet key hyperparameters are often selected heuristically rather than through systematic validation.Objective: This study provides an extrinsic evaluation of context window size and...

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מידע ביבליוגרפי

Principais autores:	Dávid Držík, Jozef Kapusta
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Prague University of Economics and Business 2026-06-01
סדרה:	Acta Informatica Pragensia
נושאים:	word embeddings word2vec glove vector dimension context window size
גישה מקוונת:	https://aip.vse.cz/artkey/aip-202602-0006_effect-of-dimension-size-and-window-size-on-word-embedding-in-classification-tasks.php
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