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EMNLP
2008
13 years 9 months ago
Soft-Supervised Learning for Text Classification
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 ...
Amarnag Subramanya, Jeff Bilmes
ICDIM
2009
IEEE
13 years 5 months ago
Text classification based on limited bibliographic metadata
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...
Kerstin Denecke, Thomas Risse, Thomas Baehr
GFKL
2005
Springer
167views Data Mining» more  GFKL 2005»
14 years 1 months ago
Quantitative Text Typology: The Impact of Sentence Length
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...
SIGIR
2008
ACM
13 years 7 months ago
Deep classification in large-scale text hierarchies
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...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
LREC
2010
126views Education» more  LREC 2010»
13 years 9 months ago
Predictive Features for Detecting Indefinite Polar Sentences
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...
Michael Wiegand, Dietrich Klakow