Self-Distillation of XLM-RoBERTa for Multilingual Sentiment Analysis on Imbalanced Data: A Case Study on Malagasy Mobile Application Reviews

Domain:

natural language processing

Record type:

paper

Creator:

RasRadYosBud

Publisher:

IEEE

Host:

Visit

Tasks

sentiment analysis text classification transfer learning

Languages

Malagasy Malagasy, Merina

Licenses

https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037

Similar

Crosslingual On-Policy Self-Distillation for Multilingual Reasoninglukmanaj/xlm-roberta-hausa-sentimentDavlan/xlm-roberta-large-finetuned-malagasyDavlan/xlm-roberta-base-finetuned-malagasyAn Improved African Vulture Optimization Algorithm for Feature Selection Problems and Its Application of Sentiment Analysis on Movie ReviewsComparative Analysis of XLM-R with Optimal Transport Distillation on MTOP for Low-Resource Languages

Crosslingual On-Policy Self-Distillation for Multilingual Reasoning

Large language models (LLMs) have achieved remarkable progress in mathematical reasoning, but this a

lukmanaj/xlm-roberta-hausa-sentiment

Davlan/xlm-roberta-large-finetuned-malagasy

Davlan/xlm-roberta-base-finetuned-malagasy

An Improved African Vulture Optimization Algorithm for Feature Selection Problems and Its Application of Sentiment Analysis on Movie Reviews

The African Vulture Optimization Algorithm (AVOA) is inspired by African vultures’ feeding and orien

Comparative Analysis of XLM-R with Optimal Transport Distillation on MTOP for Low-Resource Languages

Benefiting from transformer-based pre-trained language models, neural ranking models have made signi