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 …

Nowadays, we are witnessing a paradigm shift from the conventional approach of working
from office spaces to the emerging culture of working virtually from home. Even during the …

This study presents the development of a sentimental analysis system for high education
students using Arabic text. There is a gap in the literature concerning understanding the …

High dimensionality of the feature space is one of the problems in the field of text
classification. Identification of optimal subset of features can optimize text classification …

The tourism industry has experienced fast and sustainable growth over the years in the
economic sector. The data available online on the ever-growing tourism sector must be …

Many people are using Twitter for thought expression and information sharing in real-time.
Twitter is one of the trendiest social media applications that cybercriminals also widely use …

In the virtual world, many internet applications are used by a mass of people for several
purposes. Internet applications are the basic needs of people in the modern days of lifestyle …

With the increased usage of online social media platforms, there has been a sharp hike in
toxic comments. Toxicity must be reduced. Classification of toxicity in comments has been an …

Sentiment analysis is a way to extract emotion-based information or users' sentiments and
opinions from text data. Sentiment analysis uses text analysis, Natural Language Processing …

Within the dynamic realm of social media, the proliferation of harmful content can
significantly influence user engagement and emotional health. This study presents an in …