Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

Bi-LSTM Model to Increase Accuracy in Text Classification: Combining Word2vec CNN and Attention Mechanism

There is a need to extract meaningful information from big data, classify it into different categories, and predict end-user behavior or emotions. Large amounts of data are generated from various sources such as social media and websites. Text classification is a representative research topic in the...

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Bibliographic Details
Main Authors:	Beakcheol Jang, Myeonghwi Kim, Gaspard Harerimana, Sang-ug Kang, Jong Wook Kim
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Applied Sciences
Subjects:	text classification CNN Bi-LSTM attention mechanism
Online Access:	https://www.mdpi.com/2076-3417/10/17/5841

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