Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

Plant phenotypic image recognition (PPIR) is an important branch of smart agriculture. In
recent years, deep learning has achieved significant breakthroughs in image recognition …

Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Abstract Digital Mass Media has become the new paradigm of communication that revolves
around online social networks. The increase in the utilization of online social networks …

Traditionally, sentiment analysis is a binary classification task that aims to categorize a piece
of text as positive or negative. This approach, however, can be too simplistic when the text …

Abstract Machine Learning (ML) algorithms are generally designed for scenarios in which all
data is stored in one data center, where the training is performed. However, in many …

An image is worth a thousand words. Many researchers have conducted extensive studies
to understand visual emotions since an increasing number of users express emotions via …

This paper explores nuclear energy-related Twitter discussions as a response to the 2011
Fukushima Nuclear Disaster and the 2017 Nobel Peace Prize won by the International …

This paper addresses the practical challenge of detecting tomato plant diseases using a
hybrid lightweight model that combines a Convolutional Neural Network (CNN) and …

Embedding the ability of sentiment analysis in smart devices is especially challenging
because sentiment analysis relies on deep neural networks, in particular, convolutional …