While the availability of large amounts of textual data on social media and the advances in machine learning in recent years have led to significant progress in this field, domain-specific ontologies and both the semantic and syntactic characteristics of the text are yet to be fully utilised for effective sentiment analysis on text related to the financial markets. He is a leading expert in Data Science, Advanced Analytics, Business Transformation, Marketing and Strategy, with 19 years of cognate industry experience from two largest economies in Africa (Nigeria &South Africa).ĭomain-Specific Sentiment Analysis for Predicting Financial Market Behaviourĭomain-specific sentiment analysis can be utilised for effective predictive analysis of financial market data. He believes that Nigeria’s population of 200million with median age of about 18 years is a huge strategic advantage that can position Nigeria as one of the top 10 AI Knowledge centres in the world, especially the opportunity to raise 1 million AI talents in 10 years with globally relevant skills that can drive increased employability, FOREX inflow, AI-enabled start-ups and enhancement of the general quality of life through solution-oriented AI applications in Health, Agriculture, Financial Inclusion, Smart City etc. He believes that AI will provide a springboard for Africa’s development by enhancing how we live, work and play. Olubayo (Bayo) is driven by a vision to build an AI-first society where Artificial Intelligence is effectively deployed to solve local problems, particularly the sustainable millennial goals.
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