Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …

Preprocessing is one of the key components in a typical text classification framework. This
paper aims to extensively examine the impact of preprocessing on text classification in terms …

Text classification is one of the challenging computational tasks in machine learning
community due to the increased amounts of natural language text documents available in …

Sentiment analysis and opinion mining is closely coupled with each other. An extensive
research work is being carried out in these areas by using different methodologies …

Sentiment analysis is a challenging new task related to text mining and natural language
processing. Although there are, at present, several studies related to this theme, most of …

A vast amount of valuable human knowledge is recorded in documents. The rapid growth in
the number of machine-readable documents for public or private access necessitates the …

Recent research on Big Data proposed and evaluated a number of advanced techniques to
gain meaningful information from the complex and large volume of data available on the …

Stemming is one of the most effective techniques, which has been adopted in many
applications, such as machine learning, machine translation, document classification (DC) …

With the increasing number of online social posts, review comments, and digital
documentations, the Arabic text classification (ATC) task has been hugely required for many …

Text mining and sentiment analysis have been the focus of research due to the increasing
availability of opinion data on social networking websites. Current researches dealing with …