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Module 9 Review

Nick Feldman 11 preguntas

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Preguntas del test (11)

  1. 1What are the 3 basic tasks involved with any sentiment analysis?
    1. AIdentification, Quantification, Polarity
    2. BSentence Identification, Focus Groups, Social Media analysis
    3. COpinion Mining, Affect analysis, Emotion detection
    4. DNone of the above
  2. 2At which level is supervised classification typically done?
    1. AWord level
    2. BSentence level
    3. CDocument level
    4. DPhrase level
  3. 3Which feature-ranking algorithm is available in sentiment analysis studio?
    1. AAll
    2. BRisk ratio
    3. CChi-square
    4. DInformation gain
  4. 4In which granularity level is unsupervised classification done for sentiment analysis?
    1. ASentence level
    2. BDocument level
    3. CEntity and attribute level
    4. DHierarchical taxonomy
  5. 5In enterprise miner Text builder node properties panel, which of the following would help prevent overtraining
    1. AHigher values of Generalization error
    2. BMaximizing p-value necessary to add a term to a rule.
    3. CLower values of Generalization error
    4. DIncrease the exhaustiveness
  6. 6Which one of the below is a text normalization method available in Sentiment analysis studio
    1. AOkapi BM25
    2. BInformation gain
    3. CBERT
    4. Drisk ratio
  7. 7Sensitivity Formula
    1. ATP / (TP + FN)
    2. BTN) / TN + FP
    3. CNONE
    4. DTP/FN
  8. 8Specificity Formula
    1. ATN / (TN + FP)
    2. B(TP) / TP + FN
    3. CNONE
    4. DTN/FP
  9. 9What is one of the challenges faced in doing sentiment analysis?
    1. AAll the above
    2. BChanges in polarity based on context
    3. CNature of the communication medium
    4. DDisambiguation of terms
  10. 10Which of the following type of sentence is most commonly appropriate for sentiment analysis?
    1. ADeclarative
    2. BComparative
    3. CInterrogative
    4. DNon-Comparative

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Test sobre Module 9 Review, creado por Nick Feldman el 01/05/2022.
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