AI and machine learning startup Kavout finds invested money is biggest big data sentiment

While big data scientists working in finance may be obsessed with detecting sentiment from a sea of diverse data sources, what could be a better indicator of confidence than investing your own money in a stock? According to Kavout, a machine learning financial services startup, sentiment should be gleaned from both structured and unstructured data sets. Unstructured data sets include news and social media, while structured data sets include transaction data — for example, when CEOs buy or sell shares. More about machine learning Kavout, which boasts PhDs and engineers who worked on Google search and Microsoft’s machine learning division, combines signals from a range of categories. Kavout’s CEO Alex Lu said: “We have signals from company fundamentals [and] we look at accounting information, we look at the balance sheet,…


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