Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …

Election polls are the de facto mechanisms to predict political outcomes. Traditionally, they
are conducted with personal interviews and questionnaires. This process is costly and time …

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 …

Sustainability and the circular economy (CE) are issues of increasing interest to
governments, investors, industry, and civil society; for this reason, the implementation of a …

This study aims to improve the prediction accuracy of product sales by developing an online
review-driven combination forecasting model. The proposed model includes two parts …

The use of social media (SM) platforms in contemporary politics and democracies has been
well researched, most particularly the use of Twitter. However, the social media scenario is …

In online social networks, information diffusion presents a complicated dynamic process that
accompanies users' lives, in which the link between multi-information symbiosis and conflict …

Since the popularization of social media (SM) platforms, researchers have been trying to use
their data to predict electoral results. Previous surveys point out that the most used approach …

Predicting election outcomes is a crucial undertaking, and various methods are employed
for this purpose, such as traditional opinion polling, and social media analysis. However …