Text Classification

Build a text classification model to categorize documents, reviews, or any text content.

What You’ll Build

An AI model that assigns categories to text. Common use cases:

• Sentiment analysis (positive/negative/neutral)
• Topic classification
• Intent detection for chatbots
• Spam filtering
• Support ticket routing

Prerequisites

• A SeeMe.ai account (sign up)
• Text samples with category labels
• (Optional) Python environment with seeme SDK installed

Example

Input:

“The product arrived quickly and works perfectly. Very satisfied!”

Output:

Steps

Data Format

Text classification is straightforward - just provide text and labels:

text,label
"Great product, highly recommend!",positive
"Terrible experience, waste of money",negative
"It's okay, nothing special",neutral