Huawei H13-321 HCIP-AI-EI Developer V2.0 Exam Practice Test

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Total 176 questions
Question 1

The bag-of-words model is the earliest text vectorization method with words as the basic processing unit. Which of the following options is not the bag of words model.



Answer : C


Question 2

The LDA algorithm assumes that the prior distribution of topics in documents and the prior distribution of words in topics follow the Dirichlet distribution.



Answer : A


Question 3

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.



Answer : B


Question 4

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.



Answer : B


Question 5

What is incorrect about the following analysis?



Answer : B


Question 6

Word2vce uses the cosine value to calculate the similarity, the distance range is between 0-1, the larger the value, the higher the correlation between the two words.



Answer : A


Question 7

Word2vce is an open source tool for goodle, which can calculate the distance between words based on the set of input words.



Answer : B


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Total 176 questions