Topic Modeling QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

What is "semantic drift" in topic modeling?

A measure of the length of documents

A phenomenon where the meaning of topics changes over time

A type of punctuation mark

A synonym for tokenization

Question: 2

What is "document length normalization" in topic modeling?

A technique for measuring document length

A type of punctuation mark

A synonym for tokenization

The process of scaling document lengths to account for differences

Question: 3

In topic modeling, what is "K" typically used to represent?

A measure of sentence length

The number of topics to be discovered

A type of punctuation mark

A synonym for tokenization

Question: 4

What is the primary goal of "dimensionality reduction" in topic modeling?

To measure the length of documents

To reduce the number of features or terms in documents

To add more features to documents

To remove stopwords from documents

Question: 5

What is "term frequency" in TF-IDF?

A type of punctuation mark

A measure of document similarity

A synonym for tokenization

The frequency of a term in a document

Question: 6

What is "document frequency" used for in topic modeling?

Measuring the length of documents

Counting how many documents contain a specific term

A type of punctuation mark

A synonym for tokenization

Question: 7

Which topic modeling technique is based on the distributional hypothesis of words?

LDA

PCA

NMF

Word2Vec

Question: 8

What is "term frequency-inverse document frequency" in topic modeling?

A measure of document similarity

A way to weigh the importance of terms in a document

A type of punctuation mark

A synonym for tokenization

Question: 9

What is the "bag of words" model in topic modeling?

A technique for measuring sentence length

A model that represents documents as unordered collections of words

A type of punctuation mark

A synonym for tokenization

Question: 10

What is "stopword removal" in preprocessing for topic modeling?

The process of eliminating common and uninformative words

A punctuation removal technique

A type of punctuation mark

A synonym for tokenization

Question: 11

What is "word frequency" used for in topic modeling?

Measuring the length of documents

Identifying the most important terms in a document

A type of punctuation mark

A synonym for tokenization

Question: 12

What is "corpus" in the context of topic modeling?

A measure of sentence length

A type of punctuation mark

A collection of text documents

A synonym for tokenization

Question: 13

What is "word cloud" visualization in topic modeling?

A technique for measuring the length of documents

A visual representation of the most frequent words in a collection of documents

A type of punctuation mark

A synonym for tokenization

Question: 14

In topic modeling, what is "co-document frequency" used for?

Measuring the length of documents

Measuring the frequency of terms in a document

Determining the similarity between documents

A synonym for tokenization

Question: 15

What is "latent semantic indexing" in topic modeling?

A technique for measuring sentence length

A dimensionality reduction method for discovering topics

A type of punctuation mark

A synonym for tokenization

Question: 16

What is topic modeling in natural language processing?

A method for measuring the length of documents

A technique for predicting future trends in text

A type of punctuation mark

A way to discover hidden topics in a collection of documents

Question: 17

What is "document-topic matrix" in LDA?

A measure of the length of documents

A matrix representing the distribution of topics in documents

A type of punctuation mark

A technique for converting text to binary code

Question: 18

In topic modeling, what is the "alpha" parameter in LDA?

A measure of document similarity

A parameter controlling the document-topic distribution

A type of punctuation mark

A synonym for tokenization

Question: 19

What is "topic modeling perplexity" in LDA evaluation?

A technique for measuring document length

A measure of the coherence of topics in LDA

A type of punctuation mark

A synonym for tokenization

Question: 20

Which topic modeling technique is often used for text summarization and document classification?

LDA

PCA

NMF

SVD

Question: 21

What is "topic modeling visualization" used for?

Measuring the length of documents

A type of punctuation mark

A synonym for tokenization

Visualizing the distribution of topics in a collection of documents

Question: 22

What is "document clustering" in the context of topic modeling?

A technique for measuring the length of documents

The process of grouping similar documents based on their topics

A type of punctuation mark

A synonym for tokenization

Question: 23

What is "Singular Value Decomposition" in topic modeling?

A punctuation removal technique

A dimensionality reduction technique used in topic modeling

A type of punctuation mark

A synonym for tokenization

Question: 24

Which topic modeling technique is known for its ability to handle non-negative data matrices?

LDA

PCA

NMF

SVD

Question: 25

What is "topic coherence" in topic modeling evaluation?

A measure of document similarity

A measure of the quality of topics based on word co-occurrence

A type of punctuation mark

A synonym for tokenization

Question: 26

What is "term-topic distribution" in LDA?

A measure of the length of documents

A technique for converting text to binary code

The distribution of words associated with a specific topic

A synonym for tokenization

Question: 27

What is "document-topic distribution" in LDA?

A way to measure the similarity between documents

The distribution of topics in a given document

A type of punctuation mark

A synonym for tokenization

Question: 28

In topic modeling, what are "topics"?

The main headings in a document

Hidden patterns or themes in a collection of documents

A measure of the length of documents

Synonyms of words in a document

Question: 29

What is "Latent Dirichlet Allocation" in topic modeling?

A measure of document similarity

A technique for visualizing topics in 2D space

A probabilistic generative model for discovering topics in documents

A type of punctuation removal technique

Question: 30

Which of the following is not a commonly used topic modeling technique?

Latent Dirichlet Allocation

Principal Component Analysis

Non-Negative Matrix Factorization

Singular Value Decomposition

Topic Modeling QUIZ (MCQ QUESTIONS AND ANSWERS)

TIME:20:00

Time:20:00

What is "semantic drift" in topic modeling?

What is "document length normalization" in topic modeling?

In topic modeling, what is "K" typically used to represent?

What is the primary goal of "dimensionality reduction" in topic modeling?

What is "term frequency" in TF-IDF?

What is "document frequency" used for in topic modeling?

Which topic modeling technique is based on the distributional hypothesis of words?

What is "term frequency-inverse document frequency" in topic modeling?

What is the "bag of words" model in topic modeling?

What is "stopword removal" in preprocessing for topic modeling?

What is "word frequency" used for in topic modeling?

What is "corpus" in the context of topic modeling?

What is "word cloud" visualization in topic modeling?

In topic modeling, what is "co-document frequency" used for?

What is "latent semantic indexing" in topic modeling?

What is topic modeling in natural language processing?

What is "document-topic matrix" in LDA?

In topic modeling, what is the "alpha" parameter in LDA?

What is "topic modeling perplexity" in LDA evaluation?

Which topic modeling technique is often used for text summarization and document classification?

What is "topic modeling visualization" used for?

What is "document clustering" in the context of topic modeling?

What is "Singular Value Decomposition" in topic modeling?

Which topic modeling technique is known for its ability to handle non-negative data matrices?

What is "topic coherence" in topic modeling evaluation?

What is "term-topic distribution" in LDA?

What is "document-topic distribution" in LDA?

In topic modeling, what are "topics"?

What is "Latent Dirichlet Allocation" in topic modeling?

Which of the following is not a commonly used topic modeling technique?