WorksheetsVectorization Techniques Quiz
Total questions: 7
Worksheet time: 14mins
Name
Class
Date
1.
What is vectorization in the context of machine learning?
4 lines
2.
What are the three widely used vectorization techniques?
a)
Count vectorization
b)
N-Grams
c)
Term frequency-Inverse document frequency (TF-IDF)
3.
What does the count vectorizer do?
a)
Counts the number of times a token shows up in the document
b)
Generates a document-term matrix with non-numeric entries
c)
Ignores the frequency of words in the document
4.
What is a document term matrix?
4 lines
5.
How many rows and columns will the final result have if we select only 10 messages and assume that we have 200 unique words?
4 lines
6.
What does the n-grams process create?
4 lines
7.
Transform 'Edward' to 'edwin' by Levenshtein.
a)
edwin
b)
edward
c)
edwinn
100 %
