<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The utilization of text vectorization techniques has become essential for numerous classification tasks in present-day natural language processing. Word embedding methods commonly used today, such as Word2Vec, GloVe, etc., are based on the semantic similarity of words. WordNet, as a lexical database of words, provides a rich source of semantic information. In our article, we propose a text vectorization technique using extended text data with the data augmentation method, specifically by replacing words with their synonyms obtained from WordNet. The results obtained from text classification tasks using multiple classifiers demonstrate that expanding the corpus with this method leads to improved vector representations of words.</p>
</abstract>

The utilization of text vectorization techniques has become essential for numerous classification tasks in present-day natural language processing. Word embedding methods commonly used today, such as Word2Vec, GloVe, etc., are based on the semantic similarity of words. WordNet, as a lexical database of words, provides a rich source of semantic information. In our article, we propose a text vectorization technique using extended text data with the data augmentation method, specifically by replacing words with their synonyms obtained from WordNet. The results obtained from text classification tasks using multiple classifiers demonstrate that expanding the corpus with this method leads to improved vector representations of words.

Text Vectorization Techniques Based on Wordnet

Department of Informatics, Faculty of Natural Sciences and Informatics

Constantine the Philosopher University in Nitra

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Text Vectorization Techniques Based on Wordnet"}

The utilization of text vectorization techniques has become essential for numerous classification tasks in present-day natural language processing. Word...

Text Vectorization Techniques Based on Wordnet

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 310 - 322

DOI: https://doi.org/10.2478/jazcas-2023-0048

Schlüsselwörter
word embedding, Word2Vec, Glove, synsets, text data augmentation, semantic similarity

© 2023 Dávid Držík et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Text Vectorization Techniques Based on Wordnet

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 310 - 322

DOI: https://doi.org/10.2478/jazcas-2023-0048

Schlüsselwörterword embedding, Word2Vec, Glove, synsets, text data augmentation, semantic similarity

© 2023 Dávid Držík et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Schlüsselwörter
word embedding, Word2Vec, Glove, synsets, text data augmentation, semantic similarity