Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …

The selection of word embedding and deep learning models for better outcomes is vital.
Word embeddings are an n-dimensional distributed representation of a text that attempts to …

Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …

Compared with survey polls, social media can yield a better and more comprehensive
understanding of public perceptions of special topics in a more scientific manner. However …

We live in a digitized era where our daily life depends on using online resources.
Businesses consider the opinions of their customers, while people rely on the …

Traditional approaches to flood modelling mostly rely on hydrodynamic physical simulations.
While these simulations can be accurate, they are computationally expensive and …

Sentiment analysis is a crucial Natural Language Processing task to analyze the user's
emotions and opinions towards events, entities, services, or products. Arabic NLP faces …

Sentiment analysis automatically evaluates people's opinions of products or services. It is an
emerging research area with promising advancements in high-resource languages such as …

With the extensive availability of social media platforms, Twitter has become a significant
tool for the acquisition of peoples' views, opinions, attitudes, and emotions towards certain …