On strategies for imbalanced text classification using SVM: A comparative study

• Main Authors: SUN, Aixin, LIM, Ee Peng, LIU, Ying
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2009
• Subjects: Imbalanced text classification; Support Vector Machines; SVM; Resampling; Instance weighting; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/757; https://ink.library.smu.edu.sg/context/sis_research/article/1756/viewcontent/1_s2.0_S0167923609001754_main.pdf
• Institution: Singapore Management University

Many real-world text classification tasks involve imbalanced training examples. The strategies proposed to address the imbalanced classification (e.g., resampling, instance weighting), however, have not been systematically evaluated in the text domain. In this paper, we conduct a comparative study o...