# Topic Scanner

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**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.