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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https://www.mdpi.com/2076-3417/10/17/5841

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