Text-Based Emotion Detection using CNN-BiLSTM-Reference-Cited by-同舟云学术

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Text-Based Emotion Detection using CNN-BiLSTM

Published:2022-10-08 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)
language:
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Author:

Cahyani Denis Eka¹,Wibawa Aji Prasetya²,Prasetya Didik Dwi²,Gumilar Langlang²,Akhbar Fadhilah¹,Triyulinar Egi Rehani¹

Affiliation:

1. Universitas Negeri Malang,Department of Mathematics,Malang,Indonesia

2. Universitas Negeri Malang,Department of Electrical Engineering,Malang,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10031261/10031263/10031370.pdf?arnumber=10031370

Reference40 articles.

1. A CNN-BiLSTM Model for Document-Level Sentiment Analysis

2. Machine Learning and Deep Learning for Phishing Email Classification using One-Hot Encoding

3. Sentiment Analysis Using Word2vec And Long Short-Term Memory (LSTM) For Indonesian Hotel Reviews

4. Aspect Based Sentiment Analysis With Feature Enhanced Attention CNN-BiLSTM

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review on emotion detection by using deep learning techniques;Artificial Intelligence Review;2024-07-11

2. LightGBM-BES-BiLSTM Carbon Price Prediction Based on Environmental Impact Factors;Computational Economics;2024-06-27

3. BiLSTM-FCN based vibration signal diagnosis of smart grid cables;Applied Mathematics and Nonlinear Sciences;2024-01-01

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