Empowering Sentiment Analysis in African Low-Resource Languages Through Transformer Models and Strategic Language Selection

A Transformer-Based Language Model for Sentiment Classification and Cross-Linguistic Generalization: Empowering Low-Resource African Languages

Enhancing Sentiment Analysis in Amharic: Leveraging Transformer-Based Language Model for Low-Resource African Languages

Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages?

A line of work on Transformer-based language models such as BERT has attempted to use syntactic indu

HYBRID DEEP LEARNING MODELS FOR MULTILINGUAL SENTIMENT ANALYSIS IN LOW-RESOURCE LANGUAGES

Multilingual sentiment analysis poses significant challenges, especially in the context of languages

Advancing sentiment analysis for low-resourced african languages using pre-trained language models

While sentiment analysis systems excel in high-resource languages, most African languages facing lim

News Classification in Low‐Resource Languages: Insights From Transformer and Baseline Models

ABSTRACT News text classification in low‐resource languages