Cultural adaptation and sentiment analysis based on neuron coding in the context of new media communication-Reference-Cited by-同舟云学术

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Cultural adaptation and sentiment analysis based on neuron coding in the context of new media communication

Published:2023-04-24 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Zhu Lanzhen^ORCID

Funder

The study was supported by Humanities and Social Sciences Fund Ministry of Education, China (Project Name: Acculturation in International Communities）

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08164-2.pdf

Reference25 articles.

1. Al-Dmour H, Masa’deh R, Salman A et al (2020) Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: integrated model. J Med Internet Res 22(8):e19996

2. Al-Harbi O (2019) A comparative study of feature selection methods for dialectal Arabic sentiment classification using support vector machine. Int J Comput Sci Netw Secur 19(1):167–176

3. Australia. Trove[EB/OL]. (2021-05-17)[2021-05-17]. https://trove.nla/

4. Bahdanau D, Cho K, Bengio Y., Neural machine translation by jointly learning to align and translate,:2014, online available https://arxiv.org/abs/1409.0473 .

5. Budhi GS, Chiong R, Pranata I et al (2021) Using machine learning to predict the sentiment of online reviews: a new framework for comparative analysis. Arch Comput Methods Eng 28(4):2543–2566

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