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A SNS Message Type Classification System Using Language Independent Features and Dependent Features

Yang-Ha Chun
2015 International Journal of Software Engineering and Its Applications  
In recent years, most of text classification researches have used a term-based feature approach, but it has problems that those are language dependent and require a large number of data-set for analysis and learning the classification model. This study proposes a SNS message type classification system combining language independent and dependent features that can be used in short message for type classification in social network service environments and verifies the effectiveness of this system.
doi:10.14257/ijseia.2015.9.7.16 fatcat:i2qpcl76eze55avdsowcgar3vu