1. Hutto, C. J., & Gilbert, E. (2014). Vader: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text. International AAAI Conference on Weblogs and Social Media (ICWSM), http://eegilbert.org/papers/icwsm14.vader.hutto.pdf
2. [dataset] Park, L. (2015). Nsmc, GitHub https://github.com/e9t/nsmc
3. [dataset] Alomari, K. (2016). Arabic-twitter-corpus-AJGT, GitHub, https://github.com/komari6/Arabic-twitter-corpus-AJGT
4. crowdflower-airline-twitter-sentiment;[dataset] Hammer B;Kaggle crowdflower com,2016
5. Wu, Y. (2016). Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. edited by Google, ArXiv, https://arxiv.org/pdf/1609.08144