Organizations are increasingly interested in classifying texts or parts thereof into categories,
as this enables more effective use of their information. Manual procedures for text …

Sentiment Analysis is probably one of the best-known area in text mining. However, in
recent years, as big data rose in popularity more areas of text classification are being …

Text classification (TC) is the task of automatically assigning documents to a fixed number of
categories. TC is an important component in many text applications. Many of these …

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 …

Despite the ubiquity of textual data, so far few researchers have applied text mining to
answer organizational research questions. Text mining, which essentially entails a …

The growing number of online open-access journals promotes academic exchanges, but the
prevalence of predatory journals is undermining the scholarly reporting process. Data …

Abstract Online Social Networks (OSNs) are the most popular interactive media for
communicating, posting, and sharing indefinite amounts of personal information. However …

Text classification is one of the important research issues in the field of text mining, where
the documents are classified with supervised knowledge. In literature we can find many text …

Automated classification of text into predefined categories has always been considered as a
vital method to manage and process a vast amount of documents in digital forms that are …

Preprocessing is one of the main components in a conventional document categorization
(DC) framework. This paper aims to highlight the effect of preprocessing tasks on the …