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Twitter has emerged as a major social media platform and generated great interest from sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment analysis approaches perform relatively poorly with reported classification accuracies often below 70%, adversely...
The term ecosystem is used pervasively in industry, government, and academia to describe the complex, dynamic, hyperconnected nature of many social, economic, and technical systems that exist today. Ecosystems are characterized by a large, dynamic, and heterogeneous set of geospatially...
Serendipity has been recognized to have the potential of enhancing unexpected information discovery. This study shows that decomposing the concept of serendipity into unexpectedness and interest is a useful way for implementing this concept. Experts’ domain knowledge helps in providing...
Researchers from across the social and computer sciences are increasingly using machine learning to study and address global development challenges. This article examines the burgeoning field of machine learning for the developing world (ML4D). First, we present a review of prominent literature....
Systems integration—connecting software systems for cross-functional work—is a significant concern in many large organizations, which continue to maintain hundreds, if not thousands, of independently evolving software systems. Current approaches in this space remain ad hoc, and closely tied to...
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