DMC Text Mining & Natural Language Processing 3

Question 1

Which algorithm is commonly used to build a text classifier based on Bayes' theorem and the assumption of feature independence?

Accepted Answer

Naive Bayes

Answer

K-Nearest Neighbors

Answer

DBSCAN

Answer

Apriori

Question 2

What does the term 'n-gram' refer to in text mining?

Accepted Answer

A contiguous sequence of n items (words or characters) from a text

Answer

A neural network with n hidden layers for text processing

Answer

A metric measuring the information gain of n features

Answer

A normalization technique reducing vocabulary to n unique tokens

Question 3

Latent Semantic Analysis (LSA) in text mining primarily uses which mathematical technique?

Accepted Answer

Singular Value Decomposition (SVD)

Answer

K-means clustering

Answer

Logistic regression

Answer

Random Forest ensemble

Question 4

In topic modeling, what does a 'document-topic distribution' represent?

Accepted Answer

The proportion of each topic present in a given document

Answer

The number of unique words in each topic

Answer

The frequency of a document appearing in a topic cluster

Answer

The TF-IDF score of the highest-weighted term per topic

Question 5

Which text preprocessing step involves converting all characters to a uniform case?

Accepted Answer

Case normalization

Answer

Stemming

Answer

Tokenization

Answer

Vectorization

Question 6

What is the role of a corpus in text mining?

Accepted Answer

A large, structured collection of text used for analysis or model training

Answer

A single document used for training a classifier

Answer

A dictionary of stemmed word forms

Answer

An algorithm for extracting named entities from text

Question 7

Which technique is used in text mining to automatically extract structured information such as relationships between entities from unstructured text?

Accepted Answer

Information extraction

Answer

Clustering

Answer

Regression analysis

Answer

Principal component analysis