Alexandria: Extensible Framework for Rapid Exploration of Social Media
Fenno F. Heath III, Richard Hull, Elham Khabiri, Matthew Riemer, Noi, Sukaviriya, and Roman Vaculin

TL;DR
Alexandria is an extensible platform that enables rapid, iterative exploration and analysis of social media data through customizable models, analytics, and visualizations, supporting integration with other systems.
Contribution
It introduces a flexible, REST-based architecture for social media analytics that facilitates quick development, integration, and exploration of social media data.
Findings
Supports rapid social media data exploration and analysis
Enables integration with other analytics systems like SystemG
Provides tools for constructing domain-specific models
Abstract
The Alexandria system under development at IBM Research provides an extensible framework and platform for supporting a variety of big-data analytics and visualizations. The system is currently focused on enabling rapid exploration of text-based social media data. The system provides tools to help with constructing "domain models" (i.e., families of keywords and extractors to enable focus on tweets and other social media documents relevant to a project), to rapidly extract and segment the relevant social media and its authors, to apply further analytics (such as finding trends and anomalous terms), and visualizing the results. The system architecture is centered around a variety of REST-based service APIs to enable flexible orchestration of the system capabilities; these are especially useful to support knowledge-worker driven iterative exploration of social phenomena. The architecture…
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