Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …

Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

Sarcasm identification on text documents is one of the most challenging tasks in natural
language processing (NLP), has become an essential research direction, due to its …

This study aims to find various obstacles, describe, and provide strategies for parents when
accompanying and providing direction to their children in distance learning. The method …

Over the last decade Deep learning-based models surpasses classical machine learning
models in a variety of text classification tasks. The primary challenge with text classification …

This article examines the role of parents in helping teachers in mastering Arabic vocabulary
for elementery school students. In addition, this article aims to make parents aware of their …

Compared with single-modal content, multimodal data can express users' feelings and
sentiments more vividly and interestingly. Therefore, multimodal sentiment analysis has …

This study presents a computationally efficient deep learning model for binary sentiment
classification, which aims to decide the sentiment polarity of people's opinions, attitudes, and …

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 …

Accurate and timely crop yield estimation is crucial for crop market planning and food
security. Combining remotely sensed big data with deep learning for yield estimation has …