As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …

Most existing collaborative filtering techniques have focused on modeling the binary relation
of users to items by extracting from user ratings. Aside from users' ratings, their affiliated …

The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …

COVID-19 global pandemic pushed a large number of higher educational institutions to use
Online Proctored Exams (OPE) because of government-imposed lockdowns. Treating OPE …

Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

In aspect-based sentiment analysis, extracting aspect terms along with the opinions being
expressed from user-generated content is one of the most important subtasks. Previous …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

Since the booming development of e-commerce in the last decade, the researchers have
begun to pay more attention to extract the valuable information from consumers comments …

The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …

Social media is playing a growing role in elections world-wide. Thus, automatically
analyzing electoral tweets has applications in understanding how public sentiment is …