With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

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 …

The purpose of document classification is to assign the most appropriate label to a specified
document. The main challenges in document classification are insufficient label information …

Machine-learning-based text classification is one of the leading research areas and has a
wide range of applications, which include spam detection, hate speech identification …

With the rapid development of the internet technology, a large amount of internet text data
can be obtained. The text classification (TC) technology plays a very important role in …

Due to rising competition and resource constraints, hoteliers need to understand which
consumer complaints are more important and severe to prioritize, an issue receiving less …

Associative classification (AC) integrates the task of mining association rules with the
classification task to increase the efficiency of the classification process. AC algorithms …

Online portals provide an enormous amount of news articles every day. Over the years,
numerous studies have concluded that news events have a significant impact on forecasting …

Purpose This paper aims to propose a method for dynamic product perceived quality
analysis using social media data and to achieve a macro–micro combination analysis. The …

Social media data is gaining attention as consumers become accustomed to sharing and
finding product perceptions on social media. Perceived quality is consumers' subjective …