Twitter has emerged as a major social media platform and generated great interest from
sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment …

Sentiment analysis refers to the class of computational and natural language processing
based techniques used to identify, extract or characterize subjective information, such as …

Along with the Coronavirus pandemic, another crisis has manifested itself in the form of
mass fear and panic phenomena, fueled by incomplete and often inaccurate information …

This study aims to establish a relationship between customer sentiments in online reviews
and customer ratings for hotels. Customer sentiment refers to the emotions expressed by …

Identifying the epistemic emotions of learner-generated reviews in massive open online
courses (MOOCs) can help instructors provide adaptive guidance and interventions for …

Construction accidents can easily cause massive casualties and property losses. This
research uses machine learning technique to analyze 16 critical factors and assess the …

COVID-19 is an infectious disease with its first recorded cases identified in late 2019, while
in March of 2020 it was declared as a pandemic. The outbreak of the disease has led to a …

Classroom teaching becomes viable and efficient based on increase in participation of the
student. This can be made possible by taking needed measure by finding the emotions of …

The present paper presents the results of an analysis of indicators underlying successful self-
marketing techniques on social media. The participants included YouTube gamers. We …

Today, modern educational models are concerned with the development of the teacher-
student experience and the potential opportunities it presents. User-centric analyses are …