<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Express on Dev Portfolio</title><link>https://chcha.in/tags/express/</link><description>Recent content in Express on Dev Portfolio</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 13 Feb 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://chcha.in/tags/express/index.xml" rel="self" type="application/rss+xml"/><item><title>Sentiment-Analysis</title><link>https://chcha.in/projects/sentiment-analysis/</link><pubDate>Thu, 13 Feb 2025 00:00:00 +0000</pubDate><guid>https://chcha.in/projects/sentiment-analysis/</guid><description>Overview Sentiment-Analysis is a sophisticated hybrid application that bridges Node.js and Python. It uses Node.js/Express for a robust backend API and delegates complex NLP tasks to a Python engine using TextBlob and NLTK.
Key Features 🧠 Hybrid Architecture: Seamless integration of Node.js runtime and Python analysis engine 📊 Visual Insights: Generates word clouds and visual data representations ⚡ Real-time Analysis: Instant sentiment classification (Positive, Neutral, Negative) 📁 File Upload: Support for analyzing bulk text data via CSV uploads 🎨 Modern UI: Clean interface built with Vanilla JS and CSS3 variables Tech Stack Technology Purpose Node.</description></item></channel></rss>