With the emergence of microblogging platforms and social media applications, large
amounts of user-generated data in the form of comments, reviews, and brief text messages …

Recent years have seen an increase in interest in sentiment analysis (SA), which is the
process of determining if a textual item communicates a favorable or negative opinion about …

This paper presents an impartial and extensive benchmark for text classification involving
five different text classification tasks, 20 datasets, 11 different model architectures, and …

Numerous studies have been conducted to meet the growing need for analytic tools capable
of processing increasing amounts of textual data available online, and sentiment analysis …

With the advancements in internet facilities, people are more inclined towards the use of
online services. The service providers shelve their items for e-users. These users post their …

Numerous goods and services are now offered through online platforms due to the recent
growth of online transactions like e-commerce. Users have trouble locating the product that …

In the realm of the five-category classification endeavor, there has been limited exploration
of applied techniques for classifying Arabic text. These methods have primarily leaned on …

Sentiment analysis holds significant importance in research projects by providing valuable
insights into public opinions. However, the majority of sentiment analysis studies focus on …

Social media has given voice to people around the globe. However, all voices are not
counted due to the scarcity of lexical computational resources. Such resources could …

In the digital age, social media has emerged as a significant platform, generating a vast
amount of raw data daily. This data reflects the opinions of individuals from diverse …