Increasing use of social media has increased consumer interest in reading product
evaluations and ratings before making a purchase. There is now a mechanism to examine …

Sentiment analysis on social media is one of the most popular text mining application and
many researchers have devoted more efforts in this interesting field. Sentiment analysis is a …

Sentiment Analysis (SA) is one of the subfields in Natural Language Processing (NLP)
which focuses on identification and extraction of opinions that exist in the text provided …

The science of opinion analysis based on data from social networks and other forms of mass
media has garnered the interest of the scientific community and the business world. Dealing …

The dynamic Web, which contains huge number of digital documents, is expanding day by
day. Thus, it has become a tough challenge to search for a particular document from such a …

The general classification is a machine learning task that tries to assign the best class to a
given unknown input vector based on past observations (training data). Most of developed …

Regression is one of the most basic problems in data mining. For regression problem,
extreme learning machine (ELM) can get better generalization performance at a much faster …

With the increasing presence of online social networks (OSN), there is a growing interest in
accurately predicting user behaviors based on the data collected from OSN. Unlike …

The extreme learning machine (ELM), a new learning algorithm for single hidden layer
feedforward neural networks (SLFN), has drawn interest of a large number of researchers …

This paper proposes an improved learning algorithm for classification which is referred to as
voting based extreme learning machine. The proposed method incorporates the voting …