Performance Evaluation of Text Embedding Models for Ambiguity Classification in Indonesian News Corpus: A Comparative Study of TF-IDF, Word2Vec, FastText BERT, and GPT.
Saved in:
| Title: | Performance Evaluation of Text Embedding Models for Ambiguity Classification in Indonesian News Corpus: A Comparative Study of TF-IDF, Word2Vec, FastText BERT, and GPT. |
|---|---|
| Authors: | Sutriawan1,2 (AUTHOR) p41202200046@mhs.dinus.ac.id, Rustad, Supriadi3 (AUTHOR), Shidik, Guruh Fajar4 (AUTHOR), Pujiono1 (AUTHOR) |
| Source: | Ingénierie des Systèmes d'Information. Jun2025, Vol. 30 Issue 6, p1469-1482. 14p. |
| Database: | Business Source Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 16331311 |
|---|---|
| DOI: | 10.18280/isi.300606 |