<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vaibhav Rupapara | SmileLab Research Group</title><link>https://mkaouer.net/author/vaibhav-rupapara/</link><atom:link href="https://mkaouer.net/author/vaibhav-rupapara/index.xml" rel="self" type="application/rss+xml"/><description>Vaibhav Rupapara</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Sat, 01 Jan 2022 00:00:00 +0000</lastBuildDate><image><url>https://mkaouer.net/media/icon_hu0d5b11ddbeb42a9e2cb9cf069e1704a9_40581_512x512_fill_lanczos_center_3.png</url><title>Vaibhav Rupapara</title><link>https://mkaouer.net/author/vaibhav-rupapara/</link></image><item><title>Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry</title><link>https://mkaouer.net/publication/aljedaani-2022-sentiment/</link><pubDate>Sat, 01 Jan 2022 00:00:00 +0000</pubDate><guid>https://mkaouer.net/publication/aljedaani-2022-sentiment/</guid><description/></item></channel></rss>