Text Classification with Google Cloud Natural Language API in Python (Google Colab Notebook)

Practical Text Classification with Google’s Natural Language API
This ready-to-use Google Colab notebook gives you working Python code to classify text content at scale using Google’s Natural Language API. Created by Lazarina Stoy for her Introduction to ML for SEOs course, this isn’t a theoretical guide—it’s a fully functional script you can run immediately to categorize your content, whether that’s blog posts, product descriptions, customer reviews, or any other text data sitting in a CSV file.
The notebook walks you through a straightforward workflow: upload your CSV file containing text content, authenticate with your Google Cloud API key, and let the Natural Language API automatically classify each piece of text into relevant categories with confidence scores. The script handles the API calls, processes the responses, extracts categories and confidence levels, and exports everything to a new CSV file ready for analysis. It includes error handling, clear comments explaining each step, and built-in checks to ensure your uploaded file has the required columns before processing begins.
Use this for:
‧ Automating content categorization across large volumes of blog posts, articles, or web pages
‧ Classifying customer feedback, reviews, or support tickets to identify common themes and topics
‧ Organizing product descriptions or inventory content into standardized category structures
‧ Batch-processing text data for content audits, keyword research, or topic modeling initiatives
‧ Learning how to integrate Google Cloud Natural Language API into your own workflows with real working code
This is perfect for SEO professionals, content strategists, and digital marketers who need to categorize large amounts of text quickly and want a pre-built solution they can customize for their specific needs—no extensive coding experience required.