Social networking platforms have become an essential means for communicating feelings to
the entire world due to rapid expansion in the Internet era. Several people use textual …

Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …

Artificial Intelligence (AI) is a fast-growing area of study that stretching its presence to many
business and research domains. Machine learning, deep learning, and natural language …

This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …

Researches on machine vision-based driver fatigue detection algorithm have improved
traffic safety significantly. Generally, many algorithms do not analyze driving state from driver …

The novel coronavirus disease (COVID-19) has dramatically affected people's daily lives
worldwide. More specifically, since there is still insufficient access to vaccines and no …

Growing population leads to generating more waste and depletion of natural resources.
Moreover, the cost of supplying some resources has increased substantially. Hence, the …

The reference evapotranspiration (ETo) pertains to the evapotranspiration of cold-season
grasses with an approximate height of 0.12 m or full-covered alfalfa with a height of 0.50 m …

With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …

Online social networks (OSNs) are part of daily life of human beings. Millions of users are
connected through online social networks. Due to very large number of users and huge …