本站所有资源均为高质量资源,各种姿势下载。
The term 'tf*idf' refers to 'term frequency-inverse document frequency', which is a widely used algorithm in the field of text mining. The algorithm is based on the idea that a word that appears frequently in a document but infrequently across all documents is more important and relevant to that document. In this way, tf*idf helps to identify key words and phrases in a document, which can then be used for various purposes such as information retrieval, text classification, and sentiment analysis. Despite its popularity, the tf*idf algorithm has some limitations and challenges, such as the need for domain-specific knowledge, the inability to capture context and semantics, and the susceptibility to noise and outliers. Therefore, researchers and practitioners continue to explore and develop new techniques and approaches to overcome these issues and improve the effectiveness and efficiency of text mining.