The Database Quiz

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      Regional accents present challenges for natural language processing

    • True
    • False
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About This Quiz

A database is a structured set of electronic data held in a computer and not physically tangible. The database quiz below is for all the techies who are revising for their database exams. Take it up and all the best.

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  • 2. 

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

    • True

    • False

    Correct Answer
    A. True
  • 3. 

     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. 

    • True

    • False

    Correct Answer
    A. True
  • 4. 

      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. 

    • True

    • False

    Correct Answer
    A. True
  • 5. 

      In text mining, if an association between two concepts has 7% support, it means that 7% of the documents had both concepts represented in the same document

    • True

    • False

    Correct Answer
    A. True
  • 6. 

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

    • True

    • False

    Correct Answer
    A. True
  • 7. 

      Articles and auxiliary verbs are assigned little value in text mining and are usually filtered out

    • True

    • False

    Correct Answer
    A. True
  • 8. 

     The bag-of-words model is appropriate for spam detection but not for text analytics. 

    • True

    • False

    Correct Answer
    A. True
  • 9. 

     According to a study by Merrill Lynch and Gartner, what percentage of all corporate data is captured and stored in some sort of unstructured form

    • 15%

    • 85%

    • 25%

    • 75%

    Correct Answer
    A. 85%
  • 10. 

    .  In text analysis, what is a lexicon? 

    • a catalog of words, their synonyms, and their meanings

    • a catalog of customers, their words, and phrase

    • a catalog of customers, products, words, and phrase

    • a catalog of letters, words, phrases and sentences

    Correct Answer
    A. a catalog of words, their synonyms, and their meanings
  • 11. 

    .  In text mining, stemming is the process of 

    • creating new branches or stems of recorded paragraphs.

    • ) reducing multiple words to their base or root

    • categorizing a block of text in a sentence.

    • transforming the term-by-document matrix to a manageable size.

    Correct Answer
    A. ) reducing multiple words to their base or root
  • 12. 

    Categorization and clustering of documents during text mining differ only in the preselection of categories

    • True

    • False

    Correct Answer
    A. True
  • 13. 

    .  What application is MOST dependent on text analysis of transcribed sales call center notes and voice conversations with customers? 

    • CRM

    • OLAP

    • Finance

    • ERP

    Correct Answer
    A. CRM
  • 14. 

     What data discovery process, whereby objects are categorized into predetermined groups, is used in text mining? 

    • classification

    • trend analysis

    • association

    • clustering

    Correct Answer
    A. classification
  • 15. 

     All of the following are challenges associated with natural language processing EXCEPT 

    • dividing up a text into individual words in English.

    • understanding the context in which something is said

    • recognizing typographical or grammatical errors in texts.

    • distinguishing between words that have more than one meaning

    Correct Answer
    A. dividing up a text into individual words in English.
  • 16. 

     4.  During information extraction, entity recognition (the recognition of names of people and organizations) takes place after relationship extraction

    • True

    • False

    Correct Answer
    A. False
  • 17. 

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

    • The cruise we went on last summer was a disaster

    • Our new mayor is great for the city.

    • The customer service I got for my TV was laughable.

    • The hotel we stayed in was terrible.

    Correct Answer
    A. The customer service I got for my TV was laughable.
  • 18. 

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

    • Sales transaction file

    • patent description files

    • customer comment files

    • patients' medical files

    Correct Answer
    A. Sales transaction file
  • 19. 

    .  In text mining, tokenizing is the process of 

    • transforming the term-by-document matrix to a manageable size

    • reducing multiple words to their base or roo

    • categorizing a block of text in a sentence

    • creating new branches or stems of recorded paragraphs

    Correct Answer
    A. categorizing a block of text in a sentence
  • 20. 

     Inputs to speech analytics include all of the following EXCEPT 

    • Written transcripts of calls to service centers

    • recorded conversations of customer call-ins.

    • videos of customer focus groups.

    • Live customer interactions with service representatives

    Correct Answer
    A. Written transcripts of calls to service centers
  • 21. 

      The linguistic approach to speech handles processes elements such as intensity, pitch and jitter from speech recorded on audio

    • True

    • False

    Correct Answer
    A. False
  • 22. 

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

    • True

    • False

    Correct Answer
    A. False
  • 23. 

    .  How is objectivity handled in sentiment analysis? 

    • It is clarified with the customer who expressed it

    • It is incorporated as a type of sentiment.

    • It is identified and removed as facts are not sentiment

    • It is ignored because it does not appear in customer sentiment

    Correct Answer
    A. It is identified and removed as facts are not sentiment
  • 24. 

    .  In text mining, creating the term-document matrix includes all the terms that are included in all documents, making for huge matrices only manageable on computers

    • True

    • False

    Correct Answer
    A. False
  • 25. 

      Sentiment classification usually covers all the following issues EXCEPT 

    • range of polarity (e.g., star ratings for hotels and for restaurants).

    • classes of sentiment (e.g., positive versus negative).

    • range in strength of opinion

    • biometric identification of the consumer expressing the sentiment.

    Correct Answer
    A. biometric identification of the consumer expressing the sentiment.
  • 26. 

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

    • They examine the "market of ideas" in politics

    • They examine employee sentiment in the organization.

    • They examine customer sentiment at the aggregate level.

    • They examine the stock market for trends.

    Correct Answer
    A. They examine customer sentiment at the aggregate level.
  • 27. 

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

    • True

    • False

    Correct Answer
    A. False
  • 28. 

     Identifying the target of an expressed sentiment is difficult for all the following reasons EXCEPT 

    • the review may not be directly connected to the target through the topic name.

    • sometimes there are multiple targets expressed in a sentiment.

    • strong sentiments may be generated by a computer, not a person.

    • blogs and articles with the sentiment may be general in nature.

    Correct Answer
    A. strong sentiments may be generated by a computer, not a person.
  • 29. 

     Detecting lies from text transcripts of conversations is a future goal of text mining as current systems achieve only 50% accuracy of detection. 

    • True

    • False

    Correct Answer
    A. False
  • 30. 

    .  In text mining, which of the following methods is NOT used to reduce the size of a sparse matrix? 

    • eliminating rarely occurring terms

    • using singular value decomposition

    • using a domain expert

    • normalizing word frequencies

    Correct Answer
    A. normalizing word frequencies
  • 31. 

      What types of documents are BEST suited to semantic labeling and aggregation to determine sentiment orientation? 

    • collections of documents

    • Medium- to large-sized documents

    • large-sized documents

    • small- to medium-sized documents

    Correct Answer
    A. small- to medium-sized documents

Quiz Review Timeline (Updated): May 27, 2021 +

Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.

  • Current Version
  • May 27, 2021
    Quiz Edited by
    ProProfs Editorial Team
  • May 14, 2016
    Quiz Created by
    Zozetsweet
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