1. Abadi M, Agarwal A, Barham P, Brevdo E, Chen Z, Citro C, Corrado G. S., Davis A, Dean J, Devin M, Ghemawat S, Goodfellow I, Harp A, Irving G, Isard M, Jia Y, Jozefowicz R, Kaiser L, Kudlur M, Levenberg J, Mané D, Monga R, Moore S, Murray D, Olah C, Schuster M, Shlens J, Steiner B, Sutskever I, Talwar K, Tucker P, Vanhoucke V, Vasudevan V, Viégas F, Vinyals O, Warden P, Wattenberg M, Wicke M, Yu Y, Zheng X (2015) TensorFlow: Large-scale machine learning on heterogeneous systems. Software available from tensorflow.org
2. Abualigah L, Alfar HE, Shehab M, Hussein AMA (2020) Sentiment analysis in healthcare: a brief review. Recent advances in NLP: the case of Arabic language. Springer, pp 129–141
3. Alam M, Abid F, Guangpei C, Yunrong L (2020) Social media sentiment analysis through parallel dilated convolutional neural network for smart city applications. Comput Commun 154:129–137
4. Ambartsoumian A, Popowich F (2018) Self-attention: A better building block for sentiment analysis neural network classifiers. In: Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Association for Computational Linguistics, Brussels, Belgium, p 130–139
5. Anand PB, Navío-Marco J (2018) Governance and economics of smart cities: opportunities and challenges. Telecommunications Policy 42(10):795–799