Due to the vast volumes of newly streamed data on the Internet and social media, the use of
sentiment analysis (SA) to extract information and analyze people's opinions has become a …

Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …

Sentiment analysis is the process of examining people's opinions and emotions towards
goods, services, organizations, individuals, and other things, through the use of textual data …

Investigation and prediction of users' sentiment toward food delivery apps applying machine
learning approaches | Emerald Insight Books and journals Case studies Expert Briefings Open …

The finest resource for consumers to evaluate products is online product reviews, and
finding such reviews that are accurate and helpful can be difficult. These reviews may …

With the expansion of Internet-based applications, the number of comments shows
explosive growth. Analyzing the attitudes and emotions behind comments provides powerful …

Aspect-based Sentiment Analysis (ABSA) is a type of fine-grained sentiment analysis (SA)
that identifies aspects and the associated opinions from a given text. In the digital era, ABSA …

abstract Sentiment analysis is the process of examining people's opinions and emotions
towards goods, services, organizations, individuals, and other things, through the use of …

Sentiment analysis (SA) is commonly applied to digital textual data, revealing insight into
opinions and feelings. Many systematic reviews have summarized existing work, but often …

Arabic people use Arabic dialects on social media platforms to express their opinions and
connect. Due to the absence of standard rules or grammar, Arabic dialects are more …