Data mining is one of the most explored and ongoing areas of research. Sentiment analysis
is a popular application of data mining, where the information regarding the customer's …

As the usage of social media has increased, the size of shared data has instantly surged
and this has been an important source of research for environmental issues as it has been …

Climate crisis is one of the most talked about issues in the world today. In spite of a global
agreement on the necessity to protect the earth from global warming, people still lack …

Social media has revolutionized the way people disclose their personal health concerns and
express opinions on public health issues. In this paper a new approach for multi-class …

The Internet and social media provide a major source of information about people's
opinions. Due to the rapidly growing number of online documents, it becomes both time …

Feature selection methods aim to improve the classification performance by eliminating non-
valuable features. In this paper, our aim is to apply a recent optimization technique namely …

It has been demonstrated that optimization algorithms is a method that can handle a variety
of NP-hard (Non-deterministic Polynomial time) computational issues. It is becoming more …

Bio-inspired algorithms, such as those with regard to collective intelligence and evolutionary
algorithms have been increasingly used in social media analytics in recent years. These …

In today's scenarios, online marketing and social networking require sentiment for opinion
mining to understand its customers and users. The sentiment analysis involves extracting …

Text data from social media and networks are ubiquitous and are emerging at a high rate.
Tackling these bulky text data has become a challenging task and an important field of …