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FinTech 12-1 NLP

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What were the objectives of NLP day 1?

a)

Tokenizing texts into sentences and words

b)

Implementing ngrams and word clouds

c)

Implement lemmatization and stopwording

d)

Sentiment analysis

2.

Which step is the process of breaking down documents into smaller units of analysis?

a)

Lemmatization

b)

Tokenization

c)

Ngrams

d)

Stopwords

e)

Corpus

3.

Which are multiple word sequences?

a)

Lemmatization

b)

Tokenization

c)

Ngrams

d)

Stopwords

e)

Corpus

4.

Which are common words usually removed in an NLP analysis?

a)

Lemmatization

b)

Tokenization

c)

Ngrams

d)

Stopwords

e)

Corpus

5.

Which is a collection of documents?

a)

Lemmatization

b)

Tokenization

c)

Ngrams

d)

Stopwords

e)

Corpus

6.

Which is the process of turning different morphologies (i.e. versions) of a word into its base form?

a)

Lemmatization

b)

Tokenization

c)

Ngrams

d)

Stopwords

e)

Corpus

7.

Which is the main Python package we use for NLP?

a)

Scikit-Learn

b)

NLTK

c)

NLP-LIB

d)

PyNLP

8.

In a word cloud, what does the size correspond to?

a)

Length

b)

Frequency

c)

Importance

d)

Relation

9.

How was NLP day 1 for you?

4 lines
10.

Any suggestions for improvement?

4 lines