Social media sentiment analysis based on COVID-19

Author:

Nemes László1ORCID,Kiss Attila1ORCID

Affiliation:

1. Department of Information Systems, ELTE Eötvös Loránd University, Budapest, Hungary

Funder

European Social Fund

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Reference15 articles.

1. Arras, L. Montavon, G. Müller, K. R. & Samek, W. 2017). Explaining recurrent neural network predictions in sentiment analysis. Preprint arXiv:1706.07206.

2. Balahur, A. (2013). Sentiment analysis in social media texts. In Proceedings of the 4th workshop on computational approaches to subjectivity, sentiment and social media analysis (pp. 120–128).

3. Deep Convolution Neural Networks for Twitter Sentiment Analysis

4. Social media analytics

5. Liu, P. Qiu, X. & Huang, X. (2016). Recurrent neural network for text classification with multi-task learning. Preprint arXiv:1605.05101.

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