Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …

Nowadays, the importance of Quality of Experience (QoE) has gained increasing attention
from online consumers. For service providers, developing effective sentiment analysis …

In this work, we present a novel framework for discriminatory comment classification in
targeted low-resource languages thereby enabling identification of discriminatory comments …

In the mobile game industry, modelling customer requirements (CRs) is becoming
indispensable for developers before improving games. Online reviews, as a common way of …

Sentiment analysis is a key component of many social media analysis projects. Additionally,
prior research has concentrated on a single modality in particular, such as text descriptions …

Sentiment analysis towards short texts is always facing challenges, because short texts only
contain limited semantic characteristics. As a result, this paper constructs a specific large …

Abstract Developing a quantitative Environmental, Social, and Governance (ESG) rating tool
using technology to reduce manpower requirements and ensure the objectivity and …

Deep learning, a branch of artificial intelligence, is a data-driven method that uses multiple
layers of interconnected units (neurons) to learn intricate patterns and representations …

Fake news detection is the process of identifying news that contain purposeful
misinformation disseminated through traditional news sources or social media platforms …

The rapid expansion of the freelancing sector has underscored the necessity for more
efficient project matching systems. Traditional methods, which largely depend on keyword …