Emotion classification in poetry text using deep neural network

被引:0
|
作者
Asad Khattak
Muhammad Zubair Asghar
Hassan Ali Khalid
Hussain Ahmad
机构
[1] Zayed University,College of Technological Innovation
[2] Gomal University,Institute of Computing and Information Technology
来源
关键词
Emotion detection; Poetry; Deep learning; BiLSTM;
D O I
暂无
中图分类号
学科分类号
摘要
Emotion classification from online content has received considerable attention from researchers in recent times. Most of the work in this direction has been carried out on classifying emotions from informal text, such as chat, sms, tweets and other social media content. However, less attention is given to emotion classification from formal text, such as poetry. In this work, we propose an emotion classification system from poetry text using a deep neural network model. For this purpose, the BiLSTM model is implemented on a benchmark poetry dataset. This is capable of classifying poetry into different emotion types, such as love, anger, alone, suicide and surprise. The efficiency of the proposed model is compared with different baseline methods, including machine learning and deep learning models.
引用
收藏
页码:26223 / 26244
页数:21
相关论文
共 50 条
  • [31] Thai Text Detection and Classification Using Convolutional Neural Network
    Malakar, Susanta
    Chiracharit, Werapon
    2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 2020, : 99 - 102
  • [32] Semi-supervised text classification with deep convolutional neural network using feature fusion approach
    Shayegh, Parvaneh
    Li, Yuefeng
    Zhang, Jinglan
    Zhang, Qing
    2019 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2019), 2019, : 363 - 366
  • [33] Neural Network for Arabic Text Classification
    Harrag, Fouzi
    El-Qawasmah, Eyas
    2009 SECOND INTERNATIONAL CONFERENCE ON THE APPLICATIONS OF DIGITAL INFORMATION AND WEB TECHNOLOGIES (ICADIWT 2009), 2009, : 778 - +
  • [34] Arrhythmia Classification System Using Deep Neural Network
    Jeon, EunKwang
    Han, Sangwook
    Chae, MinSu
    Lee, HwaMin
    2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019), 2019, : 111 - 114
  • [35] Research on News Text Classification Based on Deep Learning Convolutional Neural Network
    Zhu, Yunlong
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [36] A Deep Neural Network Conformal Predictor for Multi-label Text Classification
    Paisios, Andreas
    Lenc, Ladislav
    Martinek, Jiri
    Kral, Pavel
    Papadopoulos, Harris
    CONFORMAL AND PROBABILISTIC PREDICTION AND APPLICATIONS, VOL 105, 2019, 105
  • [37] Hand Gesture Localization and Classification by Deep Neural Network for Online Text Entry
    Sharma, Shivraj
    Dutta, H. Pallab Jyoti
    Bhuyan, M. K.
    Laskar, R. H.
    PROCEEDINGS OF 2020 IEEE APPLIED SIGNAL PROCESSING CONFERENCE (ASPCON 2020), 2020, : 298 - 302
  • [38] Gemstone Classification Using Deep Convolutional Neural Network
    Chakraborty B.
    Mukherjee R.
    Das S.
    Journal of The Institution of Engineers (India): Series B, 2024, 105 (04) : 773 - 785
  • [39] Classification of Car Parts Using Deep Neural Network
    Khanal, Salik Ram
    Amorim, Eurico Vasco
    Filipe, Vitor
    CONTROLO 2020, 2021, 695 : 582 - 591
  • [40] A Tensor Space Model-Based Deep Neural Network for Text Classification
    Kim, Han-joon
    Lim, Pureum
    APPLIED SCIENCES-BASEL, 2021, 11 (20):