<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LLM-augmented content analytics | Fanjie Li</title><link>https://fanjie-li.netlify.app/tag/llm-augmented-content-analytics/</link><atom:link href="https://fanjie-li.netlify.app/tag/llm-augmented-content-analytics/index.xml" rel="self" type="application/rss+xml"/><description>LLM-augmented content analytics</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Mon, 27 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://fanjie-li.netlify.app/images/icon_hu21f2f3c66189db8c92168094004333f9_4740_512x512_fill_lanczos_center_2.png</url><title>LLM-augmented content analytics</title><link>https://fanjie-li.netlify.app/tag/llm-augmented-content-analytics/</link></image><item><title>Using RE-LLM Coding Uncertainty to Resolve Codebook Ambiguities: An Example of the CLARIFY Toolset and Workflow in Action</title><link>https://fanjie-li.netlify.app/publication/lak26_workshop/</link><pubDate>Mon, 27 Apr 2026 00:00:00 +0000</pubDate><guid>https://fanjie-li.netlify.app/publication/lak26_workshop/</guid><description/></item></channel></rss>