Research on Short Video Hotspot Classification Based on LDA Feature Fusion and Improved BiLSTM

Research on Short Video Hotspot Classification Based on LDA Feature Fusion and Improved BiLSTM

Short video hot spot classification is a fundamental method to grasp the focus of consumers and improve the effectiveness of video marketing. The limitations of traditional short text classification are sparse content as well as inconspicuous feature extraction. To solve the problems above, this pap...

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Bibliographic Details
Main Authors: Linhui Li, Dan Dai, Hongjiu Liu, Yubo Yuan, Lizhong Ding, Yujie Xu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
feature fusion
self-attention
BiLSTM
hotspot classification
Online Access:https://www.mdpi.com/2076-3417/12/23/11902

Internet

https://www.mdpi.com/2076-3417/12/23/11902

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