In the last decade, sentiment analysis has been widely applied in many domains, including
business, social networks and education. Particularly in the education domain, where …

In computer vision, traditional machine learning (TML) and deep learning (DL) methods
have significantly contributed to the advancements of medical image analysis (MIA) by …

How different cultures react and respond given a crisis is predominant in a society's norms
and political will to combat the situation. Often, the decisions made are necessitated by …

Students' feedback is an effective mechanism that provides valuable insights about teaching-
learning process. Handling opinions of students expressed in reviews is a quite labour …

In recent years, significant progress has been made in text generation. The latest text
generation models are revolutionizing the domain by generating human-like text. It has …

During the pandemic, when people needed to physically distance, social media platforms
have been one of the outlets where people expressed their opinions, thoughts, sentiments …

Purpose The purpose of this paper is to conduct a comprehensive review of the noteworthy
contributions made in the area of the Feedforward neural network (FNN) to improve its …

We propose a topic-dependent attention model for sentiment classification and topic
extraction. Our model assumes that a global topic embedding is shared across documents …

Text Classification pipelines are a sequence of tasks needed to be performed to classify
documents into a set of predefined categories. The pre-processing phase (before training) of …

It is crucial to extract knowledge from past accidents to prevent future ones. To this end,
narrative classification is required in text mining. This autocoding process can be seen as a …