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Using Support Vector Machine for Classification of Baidu Hot Word

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Knowledge Science, Engineering and Management (KSEM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8041))

Abstract

Support vector machine (SVM) provides embarkation for solving multi-classification problem toward Web content. In this paper, we firstly introduce the workflow of Support Vector Machine. And we utilize SVM to automatically identifying risk category of Baidu hot word. Thirdly, we report the results with some dicsussions. Finally, future research topics are given.

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Hu, Y., Tang, X. (2013). Using Support Vector Machine for Classification of Baidu Hot Word. In: Wang, M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science(), vol 8041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39787-5_49

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  • DOI: https://doi.org/10.1007/978-3-642-39787-5_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39786-8

  • Online ISBN: 978-3-642-39787-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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