Proceedings of the 2022 7th International Conference on Modern Management and Education Technology (MMET 2022)

<Previous Article In Volume
Next Article In Volume>

A Review About Sentiment Analysis of Short Texts Based on Machine Learning

Authors
Lisheng He1, *
1Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China
*Corresponding author. Email: 200111108@stu.hit.edu.cn
Corresponding Author
Lisheng He
Available Online 9 December 2022.
DOI
10.2991/978-2-494069-51-0_52How to use a DOI?
Keywords
text sentiment analysis; machine learning
Abstract

In today’s Internet era, the number of netizens has grown rapidly, which has spawned a large number of comments expressing their own opinions and views. How to extract valuable emotional information from these texts and make use of them is becoming more and more important. Therefore, text sentiment analysis comes into being pregnancy. As an vital branch in the field of natural language processing. It is universally used in network public opinion monitoring and analysis, semantic network analysis, knowledge graph, content recommendation, etc. It is worthy of in-depth research by scholars. Depending on the methods of use, It can be divided into three methods, which are based on sentiment dictionary, traditional machine learning and deep learning. Among them, the classification methods based on machine learning are used commonly. Through analysizing and studying this method, summarizing the advantages and disadvantages of the specific methods, and reviewing the research results of scholars, This paper puts forward some prospects for future research directions.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 7th International Conference on Modern Management and Education Technology (MMET 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
9 December 2022
ISBN
978-2-494069-51-0
ISSN
2352-5398
DOI
10.2991/978-2-494069-51-0_52How 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  - Lisheng He
PY  - 2022
DA  - 2022/12/09
TI  - A Review About Sentiment Analysis of Short Texts Based on Machine Learning
BT  - Proceedings of the 2022 7th International Conference on Modern Management and Education Technology (MMET 2022)
PB  - Atlantis Press
SP  - 368
EP  - 372
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-51-0_52
DO  - 10.2991/978-2-494069-51-0_52
ID  - He2022
ER  -