TIGSEN: Building a Low-Resource Dataset and Benchmarking for Tigrigna Sentiment Analysis with Cross-Lingual Transfer Learning Approaches

nossamchakri05/Cross-Lingual-Transfer-Learning-Based-Sentiment-Analysis-for-Low-Resource-Languages

# Cross-Lingual Transfer Learning-Based Sentiment Analysis for Low-Resource Languages ## 📋 Overview

Cross-Lingual and Low-Resource Sentiment Analysis

Identifying sentiment in a low-resource language is essential for understanding opinions internation

Semi-supervised and Transfer learning approaches for low resource sentiment classification

Sentiment classification involves quantifying the affective reaction of a human to a document, media

TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna

Deep Persian sentiment analysis: Cross-lingual training for low-resource languages

With the advent of deep neural models in natural language processing tasks, having a large amount of

Cross-Multilingual, Cross-Lingual and Monolingual Transfer Learning For Arabic Dialect Sentiment Classification

Abstract Transfer learning have recently proven to be very powerful in diverse Natural lan