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Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning

Research Article Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning Sveta Milusheva , Robert Marty, Affiliation Development Impact Evaluation Department, World Bank, Washington, DC, United States of America ⨯ Guadalupe Bedoya, Affiliation Development Impact Evaluation Department, World Bank, Washington, DC, United States of America ⨯ Sarah Williams, Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing Affiliation School of Architecture and Planning, Massachusetts Institute of Technology, Cambridge, MA, United States of America Arianna Legovini Affiliation Development Impact Evaluation Department, World Bank, Washington, DC, United States of America ⨯ Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning

vFunction Unveils the First and Only Platform Purpose-Built for Automated, Intelligent and Scalable Cloud Native Modernization

News Category Global Banking & Finance Reviews vFunction Unveils the First and Only Platform Purpose-Built for Automated, Intelligent and Scalable Cloud Native Modernization PALO ALTO, Calif., Feb. 02, 2021 Emerging from stealth today, vFunction announces the first and only platform purpose-built to automatically, efficiently, and intelligently transform complex, monolithic Java applications into microservices with a scalable, repeatable factory model. vFunction also announces $12.2M in seed funding. Following the pre-seed by Engineering Capital, Shasta Ventures and Zeev Ventures led the round with participation from Engineering Capital and Khosla Ventures. vFunction was cofounded by experienced serial entrepreneurs CEO, Moti Rafalin, CTO, Amir Rapson, and Systems Architect, Ori Saporta, following the acquisition of their previous company, WatchDox, by Blackberry in 2015.

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