<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Natural Language Processing | Yiqiao Jin CS PhD @ Georgia Tech</title><link>https://ahren09.github.io/tags/natural-language-processing/</link><atom:link href="https://ahren09.github.io/tags/natural-language-processing/index.xml" rel="self" type="application/rss+xml"/><description>Natural Language Processing</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Sat, 26 Apr 2025 00:00:00 +0000</lastBuildDate><image><url>https://ahren09.github.io/media/icon_hu_eee6347cbdb2cc3f.png</url><title>Natural Language Processing</title><link>https://ahren09.github.io/tags/natural-language-processing/</link></image><item><title>The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing</title><link>https://ahren09.github.io/publication/preprint25_text_variation/</link><pubDate>Sat, 26 Apr 2025 00:00:00 +0000</pubDate><guid>https://ahren09.github.io/publication/preprint25_text_variation/</guid><description>&lt;p>This study examines how title rewrites affect engagement when YouTube videos are shared on Reddit. A controlled, multi-phase experiment accounts for video popularity, timing, and community norms. The analysis identifies emotional resonance, lexical richness, and community-specific language as characteristics of effective rewrites.&lt;/p></description></item></channel></rss>