ISDS 4111 Final Test [2026/2027] Updated
Version | Comprehensive Study Guide,
Verified Questions & Detailed Rationales
All of the following are challenges associated with natural language processing
EXCEPT
A) dividing up a text into individual words in English.
B) understanding the context in which something is said.
C) distinguishing between words that have more than one meaning.
D) recognizing typographical or grammatical errors in texts. - answer- a. dividing up a
text into individual words in english
When a word has more than one meaning, selecting the meaning that makes the most
sense can only be accomplished by taking into account the context within which the
word is used. This concept is known as ________. - answer- word sense
disambiguation
________ is a technique used to detect favorable and unfavorable opinions toward
specific products and services using large numbers of textual data sources. - answer-
Sentiment analysis
In the Mining for Lies case study, a text based deception-detection method used by
Fuller and others in 2008 was based on a process known as ________, which relies on
elements of data and text mining techniques. - answer- message feature mining
Because the term-document matrix is often very large and rather sparse, an important
optimization step is to reduce the ________ of the matrix. - answer- dimensionality
________ is mostly driven by sentiment analysis and is a key element of customer
experience management initiatives, where the goal is to create an intimate relationship
with the customer. - answer- Voice of the customer (VOC)
In the Lotte.com retail case, the company deployed SAS for Customer Experience
Analytics to better understand the quality of customer traffic on their Web site, classify
order rates, and see which ________ had the most visitors. - answer- channels
A ________ Web site contains links that send traffic directly to your Web site. - answer-
referral
________ statistics help you understand whether your specific marketing objective for a
Web page is being achieved. - answer- Conversion
, In the Social Network Analysis (SNA) for Telecommunications case, SNA can be used
to detect ________, i.e., those visitors who about to leave the website and persuade
them to stay with you. - answer- churners
________ is a connections metric for social networks that measures the ties that actors
in a network have with others that are geographically close. - answer- Propinquity
___________ is a segmentation metric for social networks that measures the strength
of the bonds between actors in a social network. - answer- Cohesion
the identification of key phrases and relationships within text by looking for predefined
objects and sequences in text by way of pattern matching. - answer- information
extraction
a discipline that studies the problem of "understanding" the natural human language,
with the view of converting depictions of human language into more formal
representations in the form of numeric and symbolic data that are easier for computer
programs to manipulate. - answer- Natural Language processing (NLP)
___________ Identifies the content of telephone calls, faxes, e-mails, and other types of
data and intercepts information sent via satellites, public switched telephone networks,
and microwave links - answer- ECHELON
This method employs a hierarchical clustering approach where the most relevant
documents to the posed query appear in small tight clusters that are nested in larger
clusters containing less similar documents, creating a spectrum of relevance levels
among the documents - answer- query-specific clustering method
4 steps in the sentiment analysis process - answer- 1. sentiment detection
2. n-p polarity classification
3. target identification
4. collection and aggregation
goal is to differentiate between a fact and an opinion, which may be viewed as
classification of text as objective or subjective. - answer- sentiment detection
Given an opinionated piece of text, the goal is to classify the opinion as falling under
one of two opposing sentiment polarities, or locate its position on the continuum
between these two polarities. - answer- n-p polarity classification
The goal of this step is to accurately identify the target of the expressed sentiment. -
answer- target identification
In this step all text data points in the document are aggregated and converted to a
single sentiment measure for the whole document. - answer- collection and aggregation
Version | Comprehensive Study Guide,
Verified Questions & Detailed Rationales
All of the following are challenges associated with natural language processing
EXCEPT
A) dividing up a text into individual words in English.
B) understanding the context in which something is said.
C) distinguishing between words that have more than one meaning.
D) recognizing typographical or grammatical errors in texts. - answer- a. dividing up a
text into individual words in english
When a word has more than one meaning, selecting the meaning that makes the most
sense can only be accomplished by taking into account the context within which the
word is used. This concept is known as ________. - answer- word sense
disambiguation
________ is a technique used to detect favorable and unfavorable opinions toward
specific products and services using large numbers of textual data sources. - answer-
Sentiment analysis
In the Mining for Lies case study, a text based deception-detection method used by
Fuller and others in 2008 was based on a process known as ________, which relies on
elements of data and text mining techniques. - answer- message feature mining
Because the term-document matrix is often very large and rather sparse, an important
optimization step is to reduce the ________ of the matrix. - answer- dimensionality
________ is mostly driven by sentiment analysis and is a key element of customer
experience management initiatives, where the goal is to create an intimate relationship
with the customer. - answer- Voice of the customer (VOC)
In the Lotte.com retail case, the company deployed SAS for Customer Experience
Analytics to better understand the quality of customer traffic on their Web site, classify
order rates, and see which ________ had the most visitors. - answer- channels
A ________ Web site contains links that send traffic directly to your Web site. - answer-
referral
________ statistics help you understand whether your specific marketing objective for a
Web page is being achieved. - answer- Conversion
, In the Social Network Analysis (SNA) for Telecommunications case, SNA can be used
to detect ________, i.e., those visitors who about to leave the website and persuade
them to stay with you. - answer- churners
________ is a connections metric for social networks that measures the ties that actors
in a network have with others that are geographically close. - answer- Propinquity
___________ is a segmentation metric for social networks that measures the strength
of the bonds between actors in a social network. - answer- Cohesion
the identification of key phrases and relationships within text by looking for predefined
objects and sequences in text by way of pattern matching. - answer- information
extraction
a discipline that studies the problem of "understanding" the natural human language,
with the view of converting depictions of human language into more formal
representations in the form of numeric and symbolic data that are easier for computer
programs to manipulate. - answer- Natural Language processing (NLP)
___________ Identifies the content of telephone calls, faxes, e-mails, and other types of
data and intercepts information sent via satellites, public switched telephone networks,
and microwave links - answer- ECHELON
This method employs a hierarchical clustering approach where the most relevant
documents to the posed query appear in small tight clusters that are nested in larger
clusters containing less similar documents, creating a spectrum of relevance levels
among the documents - answer- query-specific clustering method
4 steps in the sentiment analysis process - answer- 1. sentiment detection
2. n-p polarity classification
3. target identification
4. collection and aggregation
goal is to differentiate between a fact and an opinion, which may be viewed as
classification of text as objective or subjective. - answer- sentiment detection
Given an opinionated piece of text, the goal is to classify the opinion as falling under
one of two opposing sentiment polarities, or locate its position on the continuum
between these two polarities. - answer- n-p polarity classification
The goal of this step is to accurately identify the target of the expressed sentiment. -
answer- target identification
In this step all text data points in the document are aggregated and converted to a
single sentiment measure for the whole document. - answer- collection and aggregation
