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Name: Rajesh Kumar Gnanasekaran
Type: User
Name: Rajesh Kumar Gnanasekaran
Type: User
This is a repository for the Human Face of Big Data project from DCIC, iSchool, UMD.
This digital book introduces a novel method to allow students and faculty in the Humanities, Arts, and Social Sciences (HASS) to collaborate and interact through data analytic technologies using computational notebooks collated as digital books. We demonstrate this approach using a digitally archived Legacy of Slavery (LoS) dataset from the Maryland State Archives (MSA) and illustrate the socio-technical challenges faced in establishing this learning environment. We provide a step-by-step process involved in accessing, developing, and integrating different infrastructure elements. The LoS in Maryland is a major initiative of the MSA. The program seeks to preserve and promote the vast universe of experiences that have shaped the lives of Maryland’s African American population. Over the last 18 years, some 420,000 individuals have been identified, and data assembled into 16 major databases. These databases contain information unique to enslaved people’s lives such as manumission records, certificates of freedom, census data, penitentiary records, etc. One of the primary objectives is to enable the digital representation of these culturally rich and sensitive collections ready to be analyzed and studied through contemporary scholars’ lenses. This project aims to achieve this goal by making these databases available and accessible so that users can generate individual stories, glean insights, and possibly recover “erased” memories of the enslaved people. To achieve this goal, as a first step, individual dataset collections were prepared by downloading the databases and put through rigorous exploration, cleaning, and visualization process through coordination with interdisciplinary scholars composed of archivists, historians, computer scientists, and technology analysts.
ChatLoS
Using LLMs to create a Learning as a Service solution on analyzing Legacy of Slavery's Domestic Traffic Ads Dataset
Automatically exported from code.google.com/p/opinionfinder
middleware for institutions and kuali client applications
Code to reproduce the simple sentiment analysis from my presentation
USA Olympic Medal Winners 2000 - 2012
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.