The Impact of Sentiment in Social Network Communication
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65993-5_27
Reference23 articles.
1. Dai, J., Yan, H., Sun, T., Liu, P., Qiu, X.: Does syntax matter? A strong baseline for aspect-based sentiment analysis with roberta. arXiv preprint arXiv:2104.04986 (2021)
2. Devarajan, G.G., Nagarajan, S.M., Amanullah, S.I., Mary, S.A.S.A., Bashir, A.K.: AI-assisted deep NLP-based approach for prediction of fake news from social media users. IEEE Trans. Comput. Soc. Syst. 1–11 (2023)
3. Eliacik, A.B., Erdogan, N.: Influential user weighted sentiment analysis on topic based microblogging community. Expert Syst. Appl. 92, 403–418 (2018)
4. Emerson, P.: The original Borda count and partial voting. Soc. Choice Welf. 40, 353–358 (2013)
5. Evkoski, B., Pelicon, A., Mozetič, I., Ljubešić, N., Kralj Novak, P.: Retweet communities reveal the main sources of hate speech. PLoS ONE 17(3), e0265602 (2022)
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