Description: Word frequency refers to the number of times a specific word appears in a given text or corpus. This concept is fundamental in natural language processing (NLP), where it is used to analyze and understand textual content. Word frequency can provide valuable insights into the importance of certain terms within a document, as well as the overall theme of the text. In the context of language models, word frequency helps train algorithms that can predict the next word in a sequence based on previous usage patterns. Additionally, in anomaly detection with artificial intelligence, word frequency can be a key indicator for identifying unusual behaviors in textual data, such as in sentiment analysis or fraud detection. In summary, word frequency is an essential metric that enables natural language processing systems to effectively interpret and manipulate human language.
