This paper investigates the sentiment and emotion of digital payment application consumers
using a hybrid approach consisting of both supervised and unsupervised machine learning …

Although computational linguistic methods—such as topic modelling, sentiment analysis
and emotion detection—can provide social media researchers with insights into online …

Students' reflective writings in gross anatomy provide a rich source of complex emotions
experienced by learners. However, qualitative approaches to evaluating student writings are …

ChatGPT, a sophisticated chatbot system by OpenAI, gained significant attention and
adoption in 2022 and 2023. By generating human-like conversations, it attracted over 100 …

Social distancing and isolation are one of the impacts of COVID-19 pandemic, which lead to
the increase of internet users across the country especially in suburbs area. Consequently …

In this paper, we propose a reinforcement learning (RL) mechanism for social robots to
select an action based on users' learning performance and social engagement. We applied …

Artificial Intelligence (AI) solutions in various domains have become an integral part of
everyone's life, and it is undeniable that smart usage of AI solutions in disaster management …

Pembatasan wilayah merupakan dampak dari pandemi COVID-19 yang membuat sebagian
besar aktivitas masyarakat dilakukan secara daring. Hal ini menjelaskan peningkatan …

Users generate 500 million tweets per day on Twitter, which translates to 1.85 X 1010 words
per day. Collectively, these tweets develop ideas with emotional content in the form of …

In this paper, we propose a reinforcement learning (RL) mechanism for social robots to
select an action based on users' learning performance and social engagement. We applied …