<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Streamlit on D i o g o D A T A</title><link>https://diogo-dantas.github.io/tags/streamlit/</link><description>Recent content in Streamlit on D i o g o D A T A</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Sat, 22 Feb 2025 06:00:16 +0600</lastBuildDate><atom:link href="https://diogo-dantas.github.io/tags/streamlit/index.xml" rel="self" type="application/rss+xml"/><item><title>Sentiment Analysis of Airline Tweets via Streamlit</title><link>https://diogo-dantas.github.io/posts/data-viz/python/streamlit-us-airlines/</link><pubDate>Sat, 22 Feb 2025 06:00:16 +0600</pubDate><guid>https://diogo-dantas.github.io/posts/data-viz/python/streamlit-us-airlines/</guid><description>&lt;p>The project to analyze sentiment in tweets about airlines was developed to offer an interactive and engaging interface using Streamlit. The purpose of the application is to enable users to view tweets classified according to the type of sentiment - positive, negative or neutral - in order to analyze public perceptions in real time. With this tool, it is possible to explore how people feel about airlines and get a clearer picture of what is being discussed on social networks.&lt;/p></description></item></channel></rss>