Topic Scanner

Scan for inappropriate and unwanted topics:

Purpose: The Topic Scanner is designed to analyze text inputs and identify the main topics or themes discussed within the content.

Functionality: It employs topic modeling techniques to extract key topics from text data based on the distribution of words and their relationships.

Implementation: The scanner processes text inputs using probabilistic algorithms to identify clusters of words that frequently co-occur and represent coherent topics. It may also incorporate natural language understanding (NLU) techniques to infer the meaning and context of the text.

Usage: The Topic Scanner is utilized to understand and categorize textual content automatically.