Business Intelligence, Analytics, Data Science,
and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics
1) Text analytics is the subset of text mining that handles information retrieval and extraction,
plus data mining.
Answer: FALSE
Diff: 1 Page Ref: 335
2) Text mining is essentially the same as data mining, except for the addition of information
retrieval and extensive preprocessing.
Answer: TRUE
Diff: 2 Page Ref: 336
3) Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out.
Answer: TRUE
Diff: 1 Page Ref: 283
4) The benefits of text mining are obvious in the areas where very large amounts of structured
and tabular data are being generated.
Answer: FALSE
Diff: 2 Page Ref: 336
5) Foreign and regional accents present challenges for natural language processing.
Answer: TRUE
Diff: 2 Page Ref: 339
6) In NLP, part-of-speech tagging refers to the word sense disambiguation (i.e., words having
more than one meaning).
Answer: FALSE
Diff: 2 Page Ref: 339
7) It is a long-standing dream of the artificial intelligence community to have algorithms that are
capable of automatically reading and obtaining knowledge from text.
Answer: TRUE
Diff: 1 Page Ref: 339
8) WordNet is a laboriously hand-coded database of sentiment scores of English words.
Answer: FALSE
Diff: 2 Page Ref: 340
9) Similar to CRISP-DM standard process, text mining process is also composed of six
1
Copyright © 2024 Pearson Education Ltd.
,consecutive tasks.
Answer: FALSE
Diff: 2 Page Ref: 349
2
Copyright © 2024 Pearson Education Ltd.
, 10) The outcome of the text mining tasks "introduce structure to the corpus" is a term-by-
document matrix.
Answer: TRUE
Diff: 1 Page Ref: 349-350
11) In text mining, the data mining task named classification is often called text clustering.
Answer: FALSE
Diff: 2 Page Ref: 351
12) Confidence in association analysis (in text mining) refers to the percentage (or number) of
documents that include all of the concepts.
Answer: FALSE
Diff: 3 Page Ref: 352
13) In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's
feelings.
Answer: FALSE
Diff: 2 Page Ref: 356
14) Current use of sentiment analysis in voice of the customer applications allows companies to
change their products or services in real time in response to perceived customer opinions.
Answer: TRUE
Diff: 2 Page Ref: 360
15) In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but
easier to classify others, e.g., movie reviews, in the same way.
Answer: TRUE
Diff: 2 Page Ref: 363
16) In sentiment analysis, we can only assign sentiment to subjective words/terms; the objective
terms do not have sentiment score.
Answer: TRUE
Diff: 2 Page Ref: 362
17) A lexicon is essentially a collection of textual documents to be critically analyzed with text
mining process.
Answer: FALSE
Diff: 2 Page Ref: 364
18) Web mining is the process of discovering intrinsic relationships (i.e., interesting, and useful
information) from Web data, which are expressed in the form of textual, linkage, or usage
information.
Answer: TRUE
Diff: 2 Page Ref: 321
3
Copyright © 2024 Pearson Education Ltd.
and AI, 5th Edition by Ramesh Sharda, Dursun
Delen, Efraim Turban
Chapter 6 Predictive Analytics II: Text, Web, and Social Media Analytics
1) Text analytics is the subset of text mining that handles information retrieval and extraction,
plus data mining.
Answer: FALSE
Diff: 1 Page Ref: 335
2) Text mining is essentially the same as data mining, except for the addition of information
retrieval and extensive preprocessing.
Answer: TRUE
Diff: 2 Page Ref: 336
3) Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out.
Answer: TRUE
Diff: 1 Page Ref: 283
4) The benefits of text mining are obvious in the areas where very large amounts of structured
and tabular data are being generated.
Answer: FALSE
Diff: 2 Page Ref: 336
5) Foreign and regional accents present challenges for natural language processing.
Answer: TRUE
Diff: 2 Page Ref: 339
6) In NLP, part-of-speech tagging refers to the word sense disambiguation (i.e., words having
more than one meaning).
Answer: FALSE
Diff: 2 Page Ref: 339
7) It is a long-standing dream of the artificial intelligence community to have algorithms that are
capable of automatically reading and obtaining knowledge from text.
Answer: TRUE
Diff: 1 Page Ref: 339
8) WordNet is a laboriously hand-coded database of sentiment scores of English words.
Answer: FALSE
Diff: 2 Page Ref: 340
9) Similar to CRISP-DM standard process, text mining process is also composed of six
1
Copyright © 2024 Pearson Education Ltd.
,consecutive tasks.
Answer: FALSE
Diff: 2 Page Ref: 349
2
Copyright © 2024 Pearson Education Ltd.
, 10) The outcome of the text mining tasks "introduce structure to the corpus" is a term-by-
document matrix.
Answer: TRUE
Diff: 1 Page Ref: 349-350
11) In text mining, the data mining task named classification is often called text clustering.
Answer: FALSE
Diff: 2 Page Ref: 351
12) Confidence in association analysis (in text mining) refers to the percentage (or number) of
documents that include all of the concepts.
Answer: FALSE
Diff: 3 Page Ref: 352
13) In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's
feelings.
Answer: FALSE
Diff: 2 Page Ref: 356
14) Current use of sentiment analysis in voice of the customer applications allows companies to
change their products or services in real time in response to perceived customer opinions.
Answer: TRUE
Diff: 2 Page Ref: 360
15) In sentiment analysis, it is hard to classify some subjects such as news as good or bad, but
easier to classify others, e.g., movie reviews, in the same way.
Answer: TRUE
Diff: 2 Page Ref: 363
16) In sentiment analysis, we can only assign sentiment to subjective words/terms; the objective
terms do not have sentiment score.
Answer: TRUE
Diff: 2 Page Ref: 362
17) A lexicon is essentially a collection of textual documents to be critically analyzed with text
mining process.
Answer: FALSE
Diff: 2 Page Ref: 364
18) Web mining is the process of discovering intrinsic relationships (i.e., interesting, and useful
information) from Web data, which are expressed in the form of textual, linkage, or usage
information.
Answer: TRUE
Diff: 2 Page Ref: 321
3
Copyright © 2024 Pearson Education Ltd.
