Olaniyan, Rapheal; Stamate, Daniel and Pu, Ida. 2021. 'A Two-Step Optimised BERT-Based NLP Algorithm for Extracting Sentiment from Financial News'. In: IFIP International Conference on Artificial Intelligence Applications and Innovations. Hersonissos, Crete, Greece 25–27 June 2021. [Conference or Workshop Item]

Olaniyan, Rapheal; Stamate, Daniel; Pu, Ida; Zamyatin, Alexander; Vashkel, Anna and Marechal, Frederic. 2019. 'Predicting S&P 500 based on its constituents and their social media derived sentiment'. In: 11th International Conference on Computational Collective Intelligence ICCCI 2019. Hendaye, France 4-6 September 2019. [Conference or Workshop Item]

Marechal, Frederic; Stamate, Daniel; Olaniyan, Rapheal and Marek, Jiri. 2018. 'On XLE index constituents’ social media based sentiment informing the index trend and volatility prediction'. In: 10th International Conference on Computational Collective Intelligence (ICCCI 2018). Bristol, United Kingdom. [Conference or Workshop Item]

Murtagh, Fionn; Olaniyan, Rapheal and Stamate, Daniel. 2015. 'A novel statistical and machine learning hybrid approach to predicting S&P500 using sentiment analysis'. In: 8th International Conference of the ERCIM Working Group on Computational and Methodological Statistics. Senate House, University of London, United Kingdom. [Conference or Workshop Item]

Olaniyan, Rapheal; Stamate, Daniel; Ouarbya, Lahcen and Logofatu, Doina. 2015. 'Sentiment and stock market volatility predictive modelling - A hybrid approach'. In: 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA). Paris, France. [Conference or Workshop Item]

Olaniyan, Rapheal; Stamate, Daniel and Logofatu, Doina. 2015. 'Social Web-based Anxiety Index's Predictive Information on S&P 500 Revisited'. In: SLDS 2015: 3rd International Syposium on Statistical Learning and Data Sciences. Royal Holloway UoL, Egham, United Kingdom. [Conference or Workshop Item]

Olaniyan, Rapheal. 2021. Applied Natural Language Processing and Machine Learning in Algorithmic Trading. Doctoral thesis, Goldsmiths, University of London [Thesis]