Content Classification

Content Classification is an AI-powered natural language processing (NLP) solution that automatically analyzes and categorizes text into predefined classes using machine learning and transformer-based models. It helps organizations organize large volumes of textual data, automate workflows, improve search accuracy, and enable intelligent content analysis.

Key Features of Content Classification:

• AI-powered text classification using transformer-based NLP models.
• Automatic categorization of documents, emails, customer feedback, and other textual content.
• Supports sentiment analysis, topic classification, spam detection, and intent recognition.
• CPU-compatible deployment for local and on-premises environments.
• Customizable with domain-specific datasets for enterprise and business applications.

Content Classification Usage:

$ sudo su
$ apt update
$ source /opt/Content-Classification/venv/bin/activate
$ python test.py
  

Disclaimer:
Content Classification is a solution built using open-source machine learning and natural language processing libraries. The included implementation utilizes the Hugging Face Transformers framework and other open-source components, each maintained by their respective contributors and communities.