Improving SVM text classification performance through threshold adjustment

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2837, Issue , 2003, Pages 361-372

  Shanahan, James G ^a   Roma, Norbert ^a  

^a Clairvoyance Corporation   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AUTOMATION; CLASSIFICATION (OF INFORMATION); COSTS; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; REGRESSION ANALYSIS; ARTIFICIAL INTELLIGENCE; INFORMATION MANAGEMENT; LEARNING SYSTEMS; TEXT PROCESSING;

FILTERING THRESHOLD; SUPPORT VECTOR MACHINE (SVM); TEXT CATEGORIZATION; TEXT CLASSIFICATION; ADJUSTING ALGORITHM; INFORMATION MANAGEMENT SYSTEMS; INTEGRAL PART; ROBUST PERFORMANCE; THRESHOLD ADJUSTMENTS; TRAINING DATA; UTILITY MODEL;

INFORMATION MANAGEMENT; SUPPORT VECTOR MACHINES;

EID: 9444252357     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39857-8_33     Document Type: Conference Paper

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