A simple semantic kernel approach for SVM using higher-order paths

INISTA 2014 - IEEE International Symposium on Innovations in Intelligent Systems and Applications, Proceedings

Volumn , Issue , 2014, Pages 431-435

  Altinel, Berna ^a   Ganiz, Murat Can ^b   Diri, Banu ^c  

^a MARMARA UNIVERSITY   (Turkey)

^b DOGUS UNIVERSITY   (Turkey)

^c YILDIZ TECHNICAL UNIVERSITY   (Turkey)

Author keywords

higher order relations; machine learning; semantic kernel; support vector machine; text classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXPERIMENTS; INTELLIGENT SYSTEMS; LEARNING SYSTEMS; SEMANTICS; TEXT PROCESSING;

CLASSIFICATION PERFORMANCE; FUTURE IMPROVEMENTS; HIGHER-ORDER; SEMANTIC INFORMATION; SEMANTIC RELATIONS; SUPPORT VECTOR MACHINES ALGORITHMS; TEXT CLASSIFICATION; TEXT CLASSIFICATION SYSTEMS;

SUPPORT VECTOR MACHINES;

EID: 84906709302     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INISTA.2014.6873656     Document Type: Conference Paper

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