Modeling Tweet Dependencies with Graph Convolutional Networks for Sentiment Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s12559-021-09986-8.pdf
Reference79 articles.
1. Cambria E, Poria S, Gelbukh A, Thelwall M. Sentiment analysis is a big suitcase. IEEE Intell Syst. 2017;32(6):74–80.
2. Li D, Wang Y, Madden A, Ding Y, Tang J, Sun GG, et al. Analyzing stock market trends using social media user moods and social influence. J Assoc Inf Sci Technol. 2019;70(9):1000–13.
3. Keramatfar A, Amirkhani H. Bibliometrics of sentiment analysis literature. J Inf Sci. 2019;45(1):3–15.
4. Hussain A, Cambria E, Poria S, Hawalah AYA, Herrera F. Information fusion for affective computing and sentiment analysis. Inf Fusion. 2021;71:97–8.
5. Zou X, Yang J, Zhang J. Microblog sentiment analysis using social and topic context. PloS one. 2018;13(2):e0191163.
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