We would like to express our great gratitude towards all those who have offered us sincere assistance in finishing the project.
In particular, we are really appreciate our Professor, Dr.Lee, for providing a great course in Information Retrieval, and we are thankful for the opportunity to complete a challenging project together.
Data Source: https://www.kaggle.com/gyani95/380000-lyrics-from-metrolyrics/version/2
[1] Schlegel, Udo, et al. "G-Rap: Interactive text synthesis using recurrent neural network suggestions." European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: ESANN 2018. 2018.
[2] https://www.song-lyrics-generator.org.uk/rap/
[3] https://github.com/robbiebarrat/rapping-neural-network
[4] deepbeat.org
[5] Malmi, Eric, et al. "Dopelearning: A computational approach to rap lyrics generation." Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 2016.
[6] Beliga, Slobodan. "Keyword extraction: a review of methods and approaches." University of Rijeka, Department of Informatics (2014): 1-9.