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- Tohoku UniversityJP89 papers
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9 papers · 1 filter
Quantifying Affective Bias in Low-Resource Media: Large-Scale Emotion Profiling of Bengali Headlines
Mohd Ruhul Ameen, Akif Islam, Ayesha Siddiqua +2
News media can influence readers not only through the events they report but also through the emotional tone used to present them. This issue is especially important in digital new…
Large Language Model-Driven Dynamic Assessment of Grammatical Accuracy in English Language Learner Writing
Timur Jaganov, John Blake, Julián Villegas +1
This study investigates the potential for Large Language Models (LLMs) to scale-up Dynamic Assessment (DA). To facilitate such an investigation, we first developed DynaWrite-a modu…
RoBERTa-BiLSTM: A Context-Aware Hybrid Model for Sentiment Analysis
Md. Mostafizer Rahman, Ariful Islam Shiplu, Yutaka Watanobe +1
Effectively analyzing the comments to uncover latent intentions holds immense value in making strategic decisions across various domains. However, several challenges hinder the pro…
A Deep Convolutional Neural Network-based Model for Aspect and Polarity Classification in Hausa Movie Reviews
Umar Ibrahim, Abubakar Yakubu Zandam, Fatima Muhammad Adam +1
Aspect-based Sentiment Analysis (ABSA) is crucial for understanding sentiment nuances in text, especially across diverse languages and cultures. This paper introduces a novel Deep…
A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
Md Abrar Jahin, Md Sakib Hossain Shovon, M. F. Mridha +2
Sentiment analysis is crucial for understanding public opinion and consumer behavior. Existing models face challenges with linguistic diversity, generalizability, and explainabilit…
Program Repair with Minimal Edits Using CodeT5
Atsushi Shirafuji, Md. Mostafizer Rahman, Md Faizul Ibne Amin +1
Programmers often struggle to identify and fix bugs in their programs. In recent years, many language models (LMs) have been proposed to fix erroneous programs and support error re…