NLP

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

• Lemmatization

• Tokenization

• Ngrams

• Stopwords

• Corpus

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

• Lemmatization

• Tokenization

• Ngrams

• Stopwords

• Corpus

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

• Length

• Frequency

• Relation

• Importance

From the sentence “Fintech Online Course”, how many bigrams can be created?

• 1

• 2

• 3

• 4

• 5

Which is a high term frequency and low document frequency?

• A high weight in TF-IDF

• A low weight in TF-IDF

• A bag of words

• A corpus

Which is the most useful metric from VADER for sentiment analysis?

• Positivity

• Compound

• Negative

• Intensity

Which function would you use to implement a bag of words by creating a matrix of token counts?

• download()

• get_feature_names()

• fit_transform()

• CountVectorizer()

Which is based on tagging and is statistically based as opposed to rule based?

• NLTK

• spaCy

What does spaCy tagging do?

• Identifies more frequent words

• Identifies importance and relevance

• Identifies word order relationships

• Identifies parts of speech

Which are included in named entity recognition?

• Sentiment

• Names

• Currency

• Time and dates