Quiz
Module 9 Review
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Perguntas do quiz (11)
1What are the 3 basic tasks involved with any sentiment analysis?
- AIdentification, Quantification, Polarity
- BSentence Identification, Focus Groups, Social Media analysis
- COpinion Mining, Affect analysis, Emotion detection
- DNone of the above
2At which level is supervised classification typically done?
- AWord level
- BSentence level
- CDocument level
- DPhrase level
3Which feature-ranking algorithm is available in sentiment analysis studio?
- AAll
- BRisk ratio
- CChi-square
- DInformation gain
4In which granularity level is unsupervised classification done for sentiment analysis?
- ASentence level
- BDocument level
- CEntity and attribute level
- DHierarchical taxonomy
5In enterprise miner Text builder node properties panel, which of the following would help prevent overtraining
- AHigher values of Generalization error
- BMaximizing p-value necessary to add a term to a rule.
- CLower values of Generalization error
- DIncrease the exhaustiveness
6Which one of the below is a text normalization method available in Sentiment analysis studio
- AOkapi BM25
- BInformation gain
- CBERT
- Drisk ratio
7Sensitivity Formula
- ATP / (TP + FN)
- BTN) / TN + FP
- CNONE
- DTP/FN
8Specificity Formula
- ATN / (TN + FP)
- B(TP) / TP + FN
- CNONE
- DTN/FP
9What is one of the challenges faced in doing sentiment analysis?
- AAll the above
- BChanges in polarity based on context
- CNature of the communication medium
- DDisambiguation of terms
10Which of the following type of sentence is most commonly appropriate for sentiment analysis?
- ADeclarative
- BComparative
- CInterrogative
- DNon-Comparative
11A rule is written to achieve:
- AAll of the above
- BMatch specific words or strings
- CReference parts of speech
- DUse REGEX to match patterns
Informações
- Descrição
- Quiz sobre Module 9 Review, criado por Nick Feldman em 01-05-2022.
- Autor
- Nick Feldman
- Idioma
- English
- Visualizações
- 0
- Avaliação
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