AI KNOWLEDGE DESK

Models · entities · concepts · comparisons · practical tools

GETLLMS.ORG

🚀Function Overview

Performs binary sentiment analysis on text input, classifying emotions into positive or negative categories using BERT.

Key Features

  • Text sentiment classification (POSITIVE/NEGATIVE)
  • BERT-based architecture
  • Simple text input processing

Use Cases

  • •Analyzing product reviews
  • •Social media sentiment monitoring
  • •Customer feedback categorization

⚙️Input Parameters

text

string

Text to analyze

💡Usage Examples

Example 1

Input Parameters

{
  "text": "This is my favorite movie!"
}

Output Results

POSITIVE

Quick Actions

Technical Specifications

Hardware Type
CPU
Run Count
56
Commercial Use
Unknown/Restricted
Platform
Replicate