The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

In this paper, a sentiment classification model is proposed to address two predominant
issues in sentiment classification, namely domain-sensitive and data imbalance. Since …

With rapid increase in e-commerce, it is important to develop quick and efficient methods for
consumer review mining. One way for mining consumer reviews is sentiment classification …

Micro-blogging sites such as Twitter are often considered as rich source of opinions of the
masses towards products. The character length limit in tweets encourages people to use …

Deep learning has emerged as an effective solution to various text mining problems such as
document classification and clustering, document summarization, web mining, and …

Sentiment classification or sentiment analysis has been acknowledged as an open research
domain. In recent years, an enormous research work is being performed in these fields by …

Text classification is a high dimensional pattern recognition problem where feature selection
is an important step. Although researchers still propose new feature selection methods …

Chronic liver diseases are fifth leading cause of fatality in developing countries. Their early
diagnosis is extremely important for timely treatment and salvage life. To examine …

Social networks link people and machines, providing a huge amount of information that
grows very fast without the possibility to be handled manually. Moreover, opinion mining is …

Natural language processing (NLP) techniques can prove relevant to a variety of specialties
in the field of cognitive science, including sentiment analysis. This paper investigates the …