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How is objectivity handled in sentiment analysis?


A) It is ignored because it does not appear in customer sentiment.
B) It is incorporated as a type of sentiment.
C) It is clarified with the customer who expressed it.
D) It is identified and removed as facts are not sentiment.

E) A) and B)
F) A) and C)

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In text analysis, what is a lexicon?


A) a catalog of words, their synonyms, and their meanings
B) a catalog of customers, their words, and phrase
C) a catalog of letters, words, phrases and sentences
D) a catalog of customers, products, words, and phrase

E) None of the above
F) B) and D)

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What is the definition of text analytics according to the experts in the field?

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Text analytics is a broader concept that includes information retrieval as well as information extraction, data mining, and Web mining.

What do voice of the market (VOM) applications of sentiment analysis do?


A) They examine customer sentiment at the aggregate level.
B) They examine employee sentiment in the organization.
C) They examine the stock market for trends.
D) They examine the "market of ideas" in politics.

E) A) and B)
F) A) and C)

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Inputs to speech analytics include all of the following EXCEPT


A) written transcripts of calls to service centers.
B) recorded conversations of customer call-ins.
C) live customer interactions with service representatives.
D) videos of customer focus groups.

E) B) and D)
F) B) and C)

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IBM's Watson utilizes a massively parallel, text mining-focused, probabilistic evidence-based computational architecture called ________.

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DeepQA

Text analytics is the subset of text mining that handles information retrieval and extraction, plus data mining.

A) True
B) False

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Which of these applications will derive the LEAST benefit from text mining?


A) patients' medical files
B) patent description files
C) sales transaction files
D) customer comment files

E) A) and B)
F) B) and D)

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Identify, with a brief description, each of the four steps in the sentiment analysis process.

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1.Sentiment Detection: Here th...

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________ focuses on listening to social media where anyone can post opinions that can damage or boost your reputation.

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Chinese, Japanese, and Thai have features that make them more difficult candidates for natural language processing.

A) True
B) False

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In text mining, inputs to the process include unstructured data such as Word documents, PDF files, text excerpts, e-mail and XML files.

A) True
B) False

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In sentiment analysis, which of the following is an implicit opinion?


A) The hotel we stayed in was terrible.
B) The customer service I got for my TV was laughable.
C) The cruise we went on last summer was a disaster.
D) Our new mayor is great for the city.

E) B) and D)
F) A) and B)

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B

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 customer sentiment.

A) True
B) False

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In sentiment analysis, sentiment suggests a transient, temporary opinion reflective of one's feelings.

A) True
B) False

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Where ________ appears in text, it comes in two flavors: explicit, where the subjective sentence directly expresses an opinion, and implicit, where the text implies an opinion.

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In the BBVA case study, text analytics was used to help the company defend and enhance its reputation in social media.

A) True
B) False

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Name and briefly describe four of the most popular commercial software tools used for text mining.

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•ClearForest offers text analysis and vi...

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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 ________.

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word sense...

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Describe the query-specific clustering method as it relates to clustering.

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This method employs a hierarchical clust...

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