Building a Sentiment Analysis Web App with Django and TextBlob

A Practical Guide for Analyzing Text Emotions in Real-Time

Photo by Andreas Fickl on Unsplash

In the ever-evolving landscape of web development, understanding user sentiment has become a crucial aspect for businesses and individuals alike. Whether it’s customer feedback, social media comments, or product reviews, knowing how people feel about your content can provide valuable insights.

In this article, we’ll walk you through the process of developing a sentiment analysis web app using Django and TextBlob — a powerful combination for understanding the emotional tone of text.

Getting Started: Django Setup

First things first, let’s set up a Django project. If you haven’t installed Django yet, fire up your terminal and run:

pip install django

Now, let’s create a new Django project:

django-admin startproject sentiment_analysis
cd sentiment_analysis

Next, create a Django app within your project:

python manage.py startapp analyzer

Great! You now have the basic structure for your sentiment analysis web app.

TextBlob: Understanding Text Sentiment