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NLP quiz

Total questions: 10

Worksheet time: 7mins

Name
Class
Date
1.

What does NLP stand for? Write what the acronym means.

(a)  

2.

Which are python libraries used in NLP?

a)

spacy

b)

pandas

c)

nltk

d)

lambdas

3.

What kind of analysis are done in NLP?

a)

Sentiment analysis

b)

Reinforcement learning

c)

Part of Speech Tagging (POS)

d)

Topic modelling

4.

What approaches to NLP are used in Data Science?

a)

Rule based (lexicon, regex, decision trees)

b)

Machine Learning (statistical, feature engineering)

c)

Time Series Predictions (forecasting)

d)

Deep Learning (neural networks)

5.

Tokenisation and tokens (choose all correct answers) :

a)

Tokens are words with sentiment scores

b)

Tokenisation is a way of separating a piece of text into smaller units called tokens

c)

Tokens are basic atoms of analysis. They can be lemmas, stems, words

d)

Tokens are used in visualizations only, for analysis, we always use sentences

6.

Which of these are enghlish stopwords?

a)

'i', 'me', 'my', 'myself'

b)

'stop', 'go', 'ride', 'drive'

c)

'about', 'against', 'between', 'into'

d)

'happy', 'sad', 'angry', ' 'amazing'

7.

What is the lemma of the word "was"?

a)

wa

b)

is

c)

be

d)

am

8.

The Bag-of-Words approach:

a)

keeps word order, disregards word multiplicity

b)

keeps word order, keeps word multiplicity

c)

disregards word order, keeps word multiplicity

d)

disregards word order, disregards word multiplicity

9.

What kind of charts are used in visualisations of results?

a)

Tokenchart

b)

Windowplot

c)

Scatterplot

d)

Barchart

10.

What are the names of lecturers in this NLP part?

a)

Stefan Kosztolanyi

b)

Matej Kvassay

c)

Sebastian Poliak

d)

Martin Smira