![]() 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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