Can you provide a brief explanation of how keyword extraction works in natural language processing?

KeyWord extraction in natural language processing involves identifying and extracting the most important Words or phrases from a text that represent its main topics or themes. This is typically done by analyzing the frequency, relevance, and context of Words in the text to determine which ones are most significant. Techniques such as TF-IDF (Term Frequency-Inverse Document Frequency) and TextRank are commonly used for keyWord extraction.