We propose a new graph-based semisupervised learning (SSL) algorithm and demonstrate its application to document categorization. Each document is represented by a vertex within a ...
In this paper, we introduce a method for categorizing digital items according to their topic, only relying on the document's metadata, such as author name and title informati...
Abstract. This study focuses on the contribution of sentence length for a quantitative text typology. Therefore, 333 Slovenian texts are analyzed with regard to their sentence leng...
Emmerich Kelih, Peter Grzybek, Gordana Antic, Erns...
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...