Testbank exam chapter 7 q&a aug
sep 2024
,IBM's Watson utilizes a massively parallel, text mining—
focused, probabilistic evidence-based computational
architecture called ________. - ANSWER-DeepQA
________ is probably the most often used form of information
extraction. - ANSWER-Named entity extraction
________, also called homonyms, are syntactically identical
words with different meanings. - ANSWER-Polysemes
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 text mining system developed by Ghani et al., treating
products as sets of ________ rather than as atomic entities can
potentially boost the effectiveness of many business
applications. - ANSWER-attribute-value pairs
, 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
In the chapter's opening vignette, IBM's computer named
Watson outperformed human game champions on the game
show Jeopardy! - ANSWER-True
Text analytics is the subset of text mining that handles
information retrieval and extraction, plus data mining. -
ANSWER-False
In text mining, inputs to the process include unstructured data
such as Word documents, PDF files, text excerpts, e-mail and
XML files. - ANSWER-True
During information extraction, entity recognition (the
recognition of names of people and organizations) takes place
after relationship extraction. - ANSWER-False
Categorization and clustering of documents during text mining
differ only in the preselection of categories. - ANSWER-True
Articles and auxiliary verbs are assigned little value in text
mining and are usually filtered out. - ANSWER-True
sep 2024
,IBM's Watson utilizes a massively parallel, text mining—
focused, probabilistic evidence-based computational
architecture called ________. - ANSWER-DeepQA
________ is probably the most often used form of information
extraction. - ANSWER-Named entity extraction
________, also called homonyms, are syntactically identical
words with different meanings. - ANSWER-Polysemes
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 text mining system developed by Ghani et al., treating
products as sets of ________ rather than as atomic entities can
potentially boost the effectiveness of many business
applications. - ANSWER-attribute-value pairs
, 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
In the chapter's opening vignette, IBM's computer named
Watson outperformed human game champions on the game
show Jeopardy! - ANSWER-True
Text analytics is the subset of text mining that handles
information retrieval and extraction, plus data mining. -
ANSWER-False
In text mining, inputs to the process include unstructured data
such as Word documents, PDF files, text excerpts, e-mail and
XML files. - ANSWER-True
During information extraction, entity recognition (the
recognition of names of people and organizations) takes place
after relationship extraction. - ANSWER-False
Categorization and clustering of documents during text mining
differ only in the preselection of categories. - ANSWER-True
Articles and auxiliary verbs are assigned little value in text
mining and are usually filtered out. - ANSWER-True
