Which of the following options are applications of natural language processing?
The LDA algorithm assumes that the prior distribution of topics in documents and the prior distribution of words in topics follow the Dirichlet distribution.
The TF algorithm is a statistical word that appears in how many documents in the document set. The basic idea is that if a word appears in fewer documents, the stronger the ability to distinguish documents.
TF-IDF is a calculation method based on statistics, commonly used to evaluate the importance of a word in a document set to all documents.
What is incorrect about the following analysis?