Towards robust Malagasy NLP: a novel corpus and evaluation framework for sentiment analysis

Naomi-NLP/Fairness-and-Bias-Evaluation-of-Transformer-Models-for-Yoruba-Sentiment-Analysis

# Fairness-and-Bias-Evaluation-of-Transformer-Models-for-Yoruba-Sentiment-Analysis

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

Sentiment analysis is one of the most widely studied applications in NLP, but most work focuses on languages with large amounts of data. We introduce the first large-scale human-annotated Twitter sentiment dataset for the four most widely spoken languages in Nigeri

NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment Analysis

NaijaSenti is an open-source sentiment and emotion corpora for four major Nigerian languages. This project was supported by lacuna-fund initiatives. Jump straight to one of the sections below, or just scroll down to find out more.

UXLA: A Robust Unsupervised Data Augmentation Framework for Zero-Resource Cross-Lingual NLP

Transfer learning has yielded state-of-the-art (SoTA) results in many supervised NLP tasks. However,

abush26/Sentiment-Analysis-NLP

A Python tool for Amharic text sentiment analysis with fine-tuned and translation-based approaches,

CrioleSet: A New Corpus for Cape Verdean Creole, Towards Robust Machine Translation