Classification of Poetry Text Into the Emotional States Using Deep Learning Technique
The classification of emotional states from poetry or formal text has received less attention by the experts of computational intelligence in recent times as compared to informal textual content like SMS, email, chat, and online user reviews. In this study, an emotional state classification system f...
Main Authors: | Shakeel Ahmad, Muhammad Zubair Asghar, Fahad Mazaed Alotaibi, Sherafzal Khan |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9066983/ |
Similar Items
-
Music emotion recognition based on temporal convolutional attention network using EEG
by: Yinghao Qiao, et al.
Published: (2024-03-01) -
Text Emotion Recognition Based on XLNet-BiGRU-Att
by: Tian Han, et al.
Published: (2023-06-01) -
Cross-Subject Emotion Recognition Using Fused Entropy Features of EEG
by: Xin Zuo, et al.
Published: (2022-09-01) -
A Deep Learning Method Using Gender-Specific Features for Emotion Recognition
by: Li-Min Zhang, et al.
Published: (2023-01-01) -
A Three-Stage Uyghur Recognition Model Combining the Attention Mechanism and Different Convolutional Recurrent Networks
by: Wentao Li, et al.
Published: (2023-08-01)