지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.12 No.1
- 발행연도
- 2023.2
- 수록면
- 72 - 79 (8page)
- DOI
- 10.5573/IEIESPC.2023.12.1.72
이용수
초록· 키워드
오류제보하기
The COVID-19 pandemic has greatly affected our society badly. It has been a subject of discussion since 2019 due to the increased prevalence of social media and its extensive use, and it has been a source of tension, fear, and disappointment for people all over the world. In this research, we took data from COVID-19 tweets from 10 different regions from July 25, 2020, to August 29, 2020. Using the well-known word embedding technique count-vectorizer, we experimented with different machine learning classifiers on data to train deep neural networks to improve the accuracy of predicted opinions with a low elapsed time. In addition, we collected PCR results from these regions for the same time interval. We compared the opinions in the form of positive or negative responses with the results of the PCR tests per million people. With the help of the results, We figured out a real-time international measure to detect these regions’ behaviors for any future pandemic. If we know how a region thinks about an upcoming pandemic, then we can predict the region’s real-time behavior for the particular pandemic. This would happen if we had past case studies to compare, like in our proposed research.
목차
Abstract
1. Introduction
2. Literature Review
3. Proposed Methodology
4. Results
5. Discussion & Recommendations
6. Conclusion
References
참고문헌 (18)
참고문헌 신청
S. Sangwan at al., "Social Media Sentiment Analysis-A Relative Study on Twitter Dataset," in Proc of. 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), pp. 436-441, Apr. 2022, Article (CrossRefLik)
V. Israel-Turim at al., “Who Did Spanish Politicians Start Following on Twitter? Homophilic Tendencies among the Political Elite,” Social Sciences, vol. 11, no. 7, pp. 292, Jul. 2022, Article (CrossRefLink)
I. Deutscher at al., “Sentiments and Acts,” Berlin, Boston: De Gruyter, Dec. 2021, Article (CrossRefLink)
B. Heredia, T. M. Khoshgoftaar, J. Prusa and M. Crawford, "Cross-Domain Sentiment Analysis: An Empirical Investigation," in Proc of. 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI), pp. 160-165, Jul. 2016, Article (Cross
Wei, Jason, Zou and Kai, “EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks,” arXiv, Aug. 2019, Article (CrossRefLink)
V. Israel-Turim at al., “Who Did Spanish Politicians Start Following on Twitter? Homophilic Tendencies among the Political Elite,” Social Sciences, vol. 11, no. 7, pp. 292, Jul. 2022, Article (CrossRefLink)
I. Deutscher at al., “Sentiments and Acts,” Berlin, Boston: De Gruyter, Dec. 2021, Article (CrossRefLink)
B. Heredia, T. M. Khoshgoftaar, J. Prusa and M. Crawford, "Cross-Domain Sentiment Analysis: An Empirical Investigation," in Proc of. 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI), pp. 160-165, Jul. 2016, Article (Cross
Wei, Jason, Zou and Kai, “EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks,” arXiv, Aug. 2019, Article (CrossRefLink)
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