Classifying Sentiments on Social Media Texts: A GPT-4 Preliminary Study
LL Maceda, JL Llovido, MB Artiaga… - Proceedings of the 2023 …, 2023 - dl.acm.org
In today's digital age, social media has become a hub for people to express their thoughts
and feelings. Sentiment classification discerns public opinions and trends to understand …
and feelings. Sentiment classification discerns public opinions and trends to understand …
[PDF][PDF] Comparative Analysis of Transformer Models for Sentiment Analysis in Low-Resource Languages.
The analysis of sentiments expressed on social media platforms is a crucial tool for
understanding user opinions and preferences. The large amount of the texts found on social …
understanding user opinions and preferences. The large amount of the texts found on social …
Comparative Analysis of EmoRoBERTa and Distilled Zero-shot Student Model for Emotion Detection in Texts
Despite the rapid progress in the field of emotion detection using NLP models, there is a
noticeable gap in the literature concerning direct and comprehensive comparison between …
noticeable gap in the literature concerning direct and comprehensive comparison between …
[引用][C] Optimizing a Distilled Zero-shot Student Model for Emotion Detection in Academic-related Feedback
JP Canon, LL Maceda, TD Palaoag… - … of Computing and …, 2024 - Unversity of Bahrain