Sunday, October 25, 2020

Natural Language Processing (NLP) Multiple Choice Questions with answers 16

Top 5 MCQ on NLP, NLP quiz questions with answers, NLP MCQ questions, Solved questions in natural language processing, NLP practitioner exam questions, Add-1 smoothing, MLE, inverse document frequency


Multiple Choice Questions in NLP

 

1. Let us assume that we use the words ‘study’ ‘computer’ and ‘abroad’. It these are only informative words to classify that a mail is spam or not. Which of the following represent the maximum-likelihood estimate using add-one smoothing for P(study|spam)? Use the following table to answer the question;

‘study’

‘computer’

‘abroad’

Class

1

0

1

1

0

0

0

0

0

0

0

1

0

1

0

0

0

1

0

0

0

1

0

0

0

0

1

0

0

0

Not spam

Not spam

Not spam

Not spam

Spam

Spam

Spam

Spam

Spam

Spam

a) 0/6

b) 0/8

c) 1/6

d) 1/8

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2. What is the probability P (‘computer in abroad’ | spam) as per the data in the table given in question 1?

a) 1/6

b) 2/6

c) 1/36

d) 1/18

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3. What is the unsmoothed maximum likelihood estimate of P(Spam) for the data given in question 1?

a) 1

b) 6/10

c) 4/6

d) 3/5

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4. Which of the following increases the weight of rarely occurring terms in the document set?

a) Term frequency

b) Word frequency

c) Inverse document frequency

d) Bi-gram frequency

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5. The act of converting a text document into a set of individual words is referred as ______ .

a) Tokenization

b) Stemming

c) Lemmatization

d) All of the above

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