FNLP W3

FNLP W3

University

9 Qs

quiz-placeholder

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FNLP W3

FNLP W3

Assessment

Quiz

Other

University

Practice Problem

Medium

Created by

Joel Than

Used 1+ times

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9 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

10 sec • 1 pt

Media Image

Who is this person?

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