In the last decade, sentiment analysis has been widely applied in many domains, including
business, social networks and education. Particularly in the education domain, where …

In this article, we review existing research on the complementarity of social media data and
survey data for the study of public opinion. We start by situating our review in the extensive …

Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …

Forecasting the stock market is one of the most difficult undertakings in the financial industry
due to its complex, volatile, noisy, and nonparametric character. However, as computer …

During the pandemic, when people needed to physically distance, social media platforms
have been one of the outlets where people expressed their opinions, thoughts, sentiments …

The popularity of contemporary social media (SM) has impacted democratic practices, and
the success of presidential campaigns is frequently attributed to SM performance. Within this …

Contemporary social media (SM) has strongly impacted democratic practices. The success
of presidential campaigns is frequently attributed to being highly correlated with the …

Social media users are increasingly turning to express opinions with both images and text,
while the visual content and text description may cover some conflicting information diverse …

The construction industry has been experiencing many occupational accidents as working
on construction sites is dangerous. To reduce the likelihood of accidents, construction …

Making investment decisions by utilizing sentiment data from social media (SM) is starting to
become a more tangible concept. There has been a broad investigation into this field of …