research-article

Text Classification of Micro-blog's "Tree Hole" Based on Convolutional Neural Network

Authors:

Zhisheng HuangAuthors Info & Claims

ACAI '18: Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence

Article No.: 61, Pages 1 - 5

https://doi.org/10.1145/3302425.3302501

Published: 21 December 2018 Publication History

Abstract

Rapid recognition of depression is an important step in the research of depression. With the development of social networking platform, more and more depressive patients regard micro-blog as one of the ways of self-expression. And this information provides support of data for the recognition of depression. In this study, the data crawled from micro-blog's "tree hole"[1] is used as experimental corpus. Combined with the features of micro-blog text with depression, a double-input convolutional neural network structure (D-CNN) is proposed. This method takes both the external features and the semantic features of text as input. By comparing the accuracy of classification with Support Vector Machine (SVM) and convolutional neural network (CNN) algorithm, it is finally shown that the D-CNN can further improve the accuracy of text classify.

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Cited By

Shukla SSingh M(2024)Stacked Classification Approach using Optimized Hybrid Deep Learning Model for Early Prediction of Behaviour Changes on Social MediaACM Transactions on Asian and Low-Resource Language Information Processing10.1145/368990623:11(1-22)Online publication date: 27-Aug-2024
https://dl.acm.org/doi/10.1145/3689906
Schoene ATurner ADe Mel GDethlefs N(2023)Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide NotesIEEE Transactions on Affective Computing10.1109/TAFFC.2021.305710514:1(153-164)Online publication date: 1-Jan-2023
https://doi.org/10.1109/TAFFC.2021.3057105
Li ZZhou JAn ZCheng WHu B(2022)Deep Hierarchical Ensemble Model for Suicide Detection on Imbalanced Social Media DataEntropy10.3390/e2404044224:4(442)Online publication date: 23-Mar-2022
https://doi.org/10.3390/e24040442
Show More Cited By

Index Terms

Text Classification of Micro-blog's "Tree Hole" Based on Convolutional Neural Network
1. Applied computing
  1. Life and medical sciences
    1. Health informatics
2. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks

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ACAI '18: Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence

December 2018

460 pages

ISBN:9781450366250

DOI:10.1145/3302425

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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The Hong Kong Polytechnic: The Hong Kong Polytechnic University
City University of Hong Kong: City University of Hong Kong

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 December 2018

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ACAI 2018

ACAI 2018: 2018 International Conference on Algorithms, Computing and Artificial Intelligence

December 21 - 23, 2018

Sanya, China

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ACAI '18 Paper Acceptance Rate 76 of 192 submissions, 40%;

Overall Acceptance Rate 173 of 395 submissions, 44%

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Cited By

Shukla SSingh M(2024)Stacked Classification Approach using Optimized Hybrid Deep Learning Model for Early Prediction of Behaviour Changes on Social MediaACM Transactions on Asian and Low-Resource Language Information Processing10.1145/368990623:11(1-22)Online publication date: 27-Aug-2024
https://dl.acm.org/doi/10.1145/3689906
Schoene ATurner ADe Mel GDethlefs N(2023)Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide NotesIEEE Transactions on Affective Computing10.1109/TAFFC.2021.305710514:1(153-164)Online publication date: 1-Jan-2023
https://doi.org/10.1109/TAFFC.2021.3057105
Li ZZhou JAn ZCheng WHu B(2022)Deep Hierarchical Ensemble Model for Suicide Detection on Imbalanced Social Media DataEntropy10.3390/e2404044224:4(442)Online publication date: 23-Mar-2022
https://doi.org/10.3390/e24040442
Arias FZambrano Nunez MGuerra-Adames ATejedor-Flores NVargas-Lombardo M(2022)Sentiment Analysis of Public Social Media as a Tool for Health-Related TopicsIEEE Access10.1109/ACCESS.2022.318740610(74850-74872)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3187406
Yang TLi FJi DLiang XXie TTian SLi BLiang P(2021)Fine-grained depression analysis based on Chinese micro-blog reviewsInformation Processing and Management: an International Journal10.1016/j.ipm.2021.10268158:6Online publication date: 1-Nov-2021
https://dl.acm.org/doi/10.1016/j.ipm.2021.102681
Ce PTie B(2020)An Analysis Method for Interpretability of CNN Text Classification ModelFuture Internet10.3390/fi1212022812:12(228)Online publication date: 13-Dec-2020
https://doi.org/10.3390/fi12120228

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