Yoshimi Suzuki

Sentiment analysis using semi-supervised learning with few labeled data

2020

Sentiment analysis has been widely explored in many text domains, including tweets, movie reviews, shop/restaurant reviews, product reviews, and peer reviews for scholarly papers. However, it is very costly to manually label the training data …

Indonesian Hate Speech and Abusive Tweets Classification with Deep Learning Pre-trained Language Models

2023

Hate speech and abusive language on social media can spread massively and escalate into conflict between two or more individuals or parties. Previous studies about multi-label classification to identify whether the tweet contains hate speech, …

Improving Peer-Review Score Prediction via Pretrained Model with Intermediate-Task Training

2024

Peer review plays an essential role in validating academic work and elevating the quality of published research. Developing an accurate system for predicting peer-review scores can be challenging due to the restricted annotated peer-review information. …