Top 350+ Solved Social Media Analytics (SMA) MCQ Questions Answer
Q. Text mining reads an ____________ form of data to provide meaningful information patterns
a. structured
b. unstructured
c. semistructured
d. None of Above
Q. Keyword search on XML data is a simpler problem because_______
a. XML data is mostly not structured
b. XML data is mostly tree structured
c. XML data is mostly semi structured
d. XML data is mostly fully structured
Q. Most well-known keyword search algorithm for relational data is _______
a. DBX-plorer
b. DISCOVER
c. Both
d. None
Q. Following is not classification algorithm
a. Naive Bayes
b. TFIDF
c. Probabilistic Indexing
d. Indexbased
Q. A common tool kit used forclassification is__________
a. Bridges
b. Rainbow
c. Naive Bayes
d. TFIDF
Q. The problem of network clustering is closely related to the traditional problem of ___________
a. edge partitioning
b. node partitioning
c. graph partitioning
d. vector partitioning
Q. Major challenge which arises in the context of social networks is that many such networks are______________
a. homogeneous
b. heterogeneous
c. unstructured
d. semistructured
Q. The primary idea in___________ is that data mining problems have varying levels of diffculty in different domains
a. clustering
b. classification
c. transfer learning
d. keyword search
Q. Supervised approaches depend on some a-priori knowledge ofthe data which are___________
a. Class ids
b. Class labels
c. Classifiers
d. None
Q. Clustering is a common____________ data mining technique
a. unsupervised
b. Supervised
c. both
d. None
Q. Following is not a mining technique.
a. Bayesian classification
b. rule-based classifier
c. support vector machines,
d. ObjectRanking
Q. Which of the following is not a data mining functionality?
a. Characterization and Discrimination
b. Classification and regression
c. Selection and interpretation
d. Clustering and Analysis
Q. ________________ is the process of finding a model that describes and distinguishes data classes or concepts.
a. Data Characterization
b. Data Classification
c. Data discrimination
d. Data selection
Q. Strategic value of data mining is____________
a. cost-sensitive
b. work-sensitive
c. time-sensitive
d. technique-sensitive