Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

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Research Status of the Usefulness of Online Comments Based on Deep Learning

Authors
Erwen Wu1, *
1College Of Data Science, Zhejiang University of Finance and Economics, Hangzhou, 310018, Zhejiang, China
*Corresponding author. Email: wuerwen@zufe.edu.cn
Corresponding Author
Erwen Wu
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_51How to use a DOI?
Keywords
Deep Learning; Online comments; Neural Network
Abstract

Nowadays, online comments posted to the Internet or electronics technology enables people or company to extract useful information, such as electronics plat users who have purchased products. Therefore, it is obvious that online comments are essential and useful so how to find the usefulness of online comments starts to become the research aim of many researchers. This paper summarizes literature in the field of Deep Learning on the usefulness of online comments. It is concluded that the Deep Learning model has high accuracy. Through these models, researchers can find the real situation from lots of online comments more accurately and easier and even can predict further behavior through these online comments. This paper is beneficial for people who have an interest in studying the application of Deep Learning on the usefulness of online comments to know the current development of this field preliminarily and find better models to improve accuracy.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
978-94-6463-124-1
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_51How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Erwen Wu
PY  - 2023
DA  - 2023/03/29
TI  - Research Status of the Usefulness of Online Comments Based on Deep Learning
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 440
EP  - 448
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_51
DO  - 10.2991/978-94-6463-124-1_51
ID  - Wu2023
ER  -