The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 occurred
unexpectedly in China in December 2019. Tens of millions of confirmed cases and more …

Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …

The spread of data on the web has increased in the last twenty years. One of the reasons is
the appearance of social media. The data on social sites describe many real‐life events in …

Since the advent of the worldwide COVID‐19 pandemic, analyzing public sentiment has
become one of the major concerns for policy and decision‐makers. While the priority is to …

With the consolidation of the culture of evidence-based policymaking, the availability of data
has become central to policymakers. Nowadays, innovative data sources offer an …

Abstract Between February 14, 2019 and March 4, 2019, a terrorist attack in Pulwama,
Kashmir followed by retaliatory airstrikes led to rising tensions between India and Pakistan …

Superdiversity refers to large cultural diversity in a population due to immigration. In this
paper, we introduce a superdiversity index based on the changes in the emotional content of …

Sentiment analysis is a very popular technique for social network analysis. One of the most
popular social networks for microblogging that has a great growth is Twitter, which allows …

Practitioners have emphasized the importance of employing sentiment analysis techniques
in decision-making. The data utilized in this process is typically gathered from social media …

Sentiment analysis is a classification technique that specializes in categorizing a body of
texts into various emotions. This categorization had proven to be handy in classifying tweets …