In computer vision, emotion recognition using facial expression images is considered an
important research issue. Deep learning advances in recent years have aided in attaining …

Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers
around the world. Most are based on data-driven business models, particularly relying on …

Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …

Recent developments in sarcasm detection have been emerged as extremely successful
tools in Social media opinion mining. With the advent of machine learning tools, accurate …

In this paper, we explore the effectiveness of the GPT-3 model in tackling imbalanced
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …

Twitter has become a unique platform for social interaction from people all around the world,
leading to an extensive amount of knowledge that can be used for various reasons. People …

This study focuses on how start-ups use machine learning technology to create and
appropriate value. A firm's use of machine learning can activate data network effects. These …

This article reports on designing and implementing a multiclass sentiment classification
approach to handle the imbalanced class distribution of Arabic documents. The proposed …

In the current landscape, the predominant methods for identifying manufacturing capabilities
from manufacturers rely heavily on keyword matching and semantic matching. However …

Emotion recognition using facial images has been a challenging task in computer vision.
Recent advancements in deep learning has helped in achieving better results. Studies have …