When you need to identify main talking points in documents using natural language processing, which technique should you apply?

Key Phrase Extraction is the appropriate technique to apply when identifying main talking points in documents using natural language processing. This method focuses on automatically extracting significant phrases that represent the core topics or ideas present in a text. By isolating and highlighting these key phrases, you can summarize the document's main concepts effectively, which is particularly useful for tasks such as summarization and content analysis.

This method enables a more streamlined understanding of extensive documents by capturing essential information, making it easier for users to grasp the primary themes without needing to read the text in its entirety.