Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)

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Sentiment Analysis of Hotpot Reviews with LSTM Based on Keras Framework

Authors
JinJiang Zhu1, *
1Medical Information Engineering School, Gannan Medical University, GanZhou, 341000, JiangXi, China
*Corresponding author. Email: zsmart1029@163.com
Corresponding Author
JinJiang Zhu
Available Online 29 December 2022.
DOI
10.2991/978-2-494069-31-2_200How to use a DOI?
Keywords
Natural language processing; Keras; long and short-term memory neural network; hotpot
Abstract

Natural language processing as a domain of artificial intelligence has gotten a lot of interest in recent years, thanks to the fast growth of the Internet sector, and sentiment analysis has become one of the hottest study fields in natural language processing. Based on the study findings, this article analyzes sentiment analysis of Chongqing and Chengdu hotpot reviews using a Keras-based long and short-term memory neural network model, and offers ideas for merchants as well as a means for potential customers to rapidly comprehend merchant information. The model obtains a 79 percent accuracy on the test set, according to the results. Taste, service attitude, environmental hygiene, and pot base were judged to be deficient in both cities, notably in Chongqing, where tripe, duck intestine, and crispy pork were the key causes for unfavorable ratings; in Chengdu, portion size and hygiene were the main complaint areas.

Copyright
© 2022 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 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 December 2022
ISBN
978-2-494069-31-2
ISSN
2352-5398
DOI
10.2991/978-2-494069-31-2_200How to use a DOI?
Copyright
© 2022 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  - JinJiang Zhu
PY  - 2022
DA  - 2022/12/29
TI  - Sentiment Analysis of Hotpot Reviews with LSTM Based on Keras Framework
BT  - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022)
PB  - Atlantis Press
SP  - 1703
EP  - 1712
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-494069-31-2_200
DO  - 10.2991/978-2-494069-31-2_200
ID  - Zhu2022
ER  -