research-article

Classification Algorithmof Chinese SentimentOrientation Based on Dictionary and LSTM

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Hu YanliAuthors Info & Claims

ICBDR '18: Proceedings of the 2nd International Conference on Big Data Research

Pages 119 - 126

https://doi.org/10.1145/3291801.3291835

Published: 27 October 2018 Publication History

Abstract

Chinese sentiment analysis is a hot research issue in information analysis, but the tagging corpus which can be used for machine learning algorithm training is poor. Machine learning algorithm is used for text sentiment classification, generally only categories are given while sentiment words can not be extracted. This paper proposed an automatic tagging strategy for training corpus and a classification algorithm for Chinese sentiment orientation based on dictionary and LSTM. It can label the training corpus automatically and accurately and efficiently, and also extract sentiment words. Experiment shows this method is effective and the accuracy of LSTM algorithm has reached 93.51% on the mixed data set of sentiment classification.

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Cited By

Muhammad ADefit SCahyo G(2023)Comparison of Machine Learning Text Classification for Intent Sentiment Analysis2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)10.1109/ICITISEE58992.2023.10405200(128-133)Online publication date: 29-Nov-2023
https://doi.org/10.1109/ICITISEE58992.2023.10405200
Jiao C(2022)Sentiment Analysis of Weibo Short Text Based on Attention Mechanism and BERT Model2022 4th International Conference on Natural Language Processing (ICNLP)10.1109/ICNLP55136.2022.00095(520-524)Online publication date: Mar-2022
https://doi.org/10.1109/ICNLP55136.2022.00095
HE CZHANG CHU STAN ZZHU HGE B(2019)Chinese News Text Classification Algorithm Based on Online Knowledge Extension and Convolutional Neural Network2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing10.1109/ICCWAMTIP47768.2019.9067631(204-211)Online publication date: Dec-2019
https://doi.org/10.1109/ICCWAMTIP47768.2019.9067631

Index Terms

Classification Algorithmof Chinese SentimentOrientation Based on Dictionary and LSTM
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Document analysis

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ICBDR '18: Proceedings of the 2nd International Conference on Big Data Research

October 2018

221 pages

ISBN:9781450364768

DOI:10.1145/3291801

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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Shandong Univ.: Shandong University
University of Queensland: University of Queensland
Dalian Maritime University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2018

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ICBDR 2018

ICBDR 2018: 2018 The 2nd International Conference on Big Data Research

October 27 - 29, 2018

Weihai, China

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Cited By

Muhammad ADefit SCahyo G(2023)Comparison of Machine Learning Text Classification for Intent Sentiment Analysis2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)10.1109/ICITISEE58992.2023.10405200(128-133)Online publication date: 29-Nov-2023
https://doi.org/10.1109/ICITISEE58992.2023.10405200
Jiao C(2022)Sentiment Analysis of Weibo Short Text Based on Attention Mechanism and BERT Model2022 4th International Conference on Natural Language Processing (ICNLP)10.1109/ICNLP55136.2022.00095(520-524)Online publication date: Mar-2022
https://doi.org/10.1109/ICNLP55136.2022.00095
HE CZHANG CHU STAN ZZHU HGE B(2019)Chinese News Text Classification Algorithm Based on Online Knowledge Extension and Convolutional Neural Network2019 16th International Computer Conference on Wavelet Active Media Technology and Information Processing10.1109/ICCWAMTIP47768.2019.9067631(204-211)Online publication date: Dec-2019
https://doi.org/10.1109/ICCWAMTIP47768.2019.9067631

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