Who is this person?
FNLP W3

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Medium
Joel Than
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9 questions
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1.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Joel Than
Lisa Blackpink
Kelvin Yong
Colin Tan
2.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which sentence best describes tokenization?
Coins used for generating responses
Segmentation of a document into unique words that will be called tokens
Splitting words into characters
Segmentation of a corpus to unique documents
3.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which word below best fits this description: "A group of documents"
Vector Space
Tokenization
Document
Corpus
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which of the below does not reduce number of tokens?
Lemmatization
Stemming
Normalization
Vectorization
5.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
True or False? "The Bag of Words model focuses on the occurrence, structure and order of words"
True
False
6.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which of the below describes normalised term frequency?
Counts of a word in a document divided by the document length
Equal length of vectors for comparison
value of each element to represent same word in each vector
Capitalisation consistent over all words
7.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Cosine similarity has a value between?
0 to 1
0 to 10
-1 to +1
-1 to 0
8.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Zipf's law can be described as?
frequency of a token in a text is directly proportional to its rank or position in the sorted list
frequency of a token in a text is inveserly proportional to its rank or position in the sorted list
Ratio of the total number of documents to the number of documents the term appears in.
9.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which of the below is not an example of stopwords?
a
the
of
ate
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