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 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 …

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 …

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 …

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 …

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 …

Sentiment analysis, a crucial task in discerning emotional tones within the text, plays a
pivotal role in understanding public opinion and user sentiment across diverse languages …

On a daily basis, an abundance of opinions, thousands or even millions of comments are
generated by various individuals on social media. Collecting and evaluating these …

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 …