Feature selection for text classification: A review

X Deng, Y Li, J Weng, J Zhang - Multimedia Tools and Applications, 2019 - Springer
Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …
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Feature selection for text classification: A review.

X Deng, Y Li, J Weng, J Zhang - Multimedia Tools & …, 2019 - search.ebscohost.com
Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …

Feature selection for text classification: A review

X Deng, Y Li, J Weng, J Zhang - Multimedia Tools and …, 2019 - search.proquest.com
Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …

[引用][C] Feature selection for text classification: A review

X Deng, Y Li, J Weng, J Zhang - Multimedia Tools and Applications, 2018 - cir.nii.ac.jp
Feature selection for text classification: A review | CiNii Research CiNii 国立情報学研究所 学術
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Feature selection for text classification: A review

X Deng, Y Li, J Weng, J Zhang - Multimedia Tools and Applications, 2019 - dl.acm.org
Big multimedia data is heterogeneous in essence, that is, the data may be a mixture of
video, audio, text, and images. This is due to the prevalence of novel applications in recent …