Cross-lingual transfer of sentiment classifiers

Cross-lingual transfer of sentiment classifiers

Word embeddings represent words in a numeric space so that semantic relations between words are represented as distances and directions in the vector space. Cross-lingual word embeddings transform vector spaces of different languages so that similar words are aligned. This is done by mapping one la...

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Bibliographic Details
Main Authors: Marko Robnik-Šikonja, Kristjan Reba, Igor Mozetič
Format: Article
Language:English
Published: Znanstvena založba Filozofske fakultete Univerze v Ljubljani (Ljubljana University Press, Faculty of Arts) 2021-07-01
Series:Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave
Subjects:
natural language processing
machine learning
text embeddings
sentiment analysis
BERT models
Online Access:https://revije.ff.uni-lj.si/slovenscina2/article/view/9797

Internet

https://revije.ff.uni-lj.si/slovenscina2/article/view/9797

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