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Four short links: 18 March 2013

Big Lit Data, 6502 Assembly, Small Startup Analytics, and Javascript Heatmaps

  1. A Quantitative Literary History of 2,958 Nineteenth-Century British Novels: The Semantic Cohort Method (PDF) — This project was simultaneously an experiment in developing quantitative and computational methods for tracing changes in literary language. We wanted to see how far quantifiable features such as word usage could be pushed toward the investigation of literary history. Could we leverage quantitative methods in ways that respect the nuance and complexity we value in the humanities? To this end, we present a second set of results, the techniques and methodological lessons gained in the course of designing and running this project. Even litcrit becoming a data game.
  2. Easy6502get started writing 6502 assembly language. Fun way to get started with low-level coding.
  3. How Analytics Really Work at a Small Startup (Pete Warden) — The key for us is that we’re using the information we get primarily for decision-making (should we build out feature X?) rather than optimization (how can we improve feature X?). Nice rundown of tools and systems he uses, with plug for KissMetrics.
  4. webgl-heatmap (GitHub) — a JavaScript library for high performance heatmap display.
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