MCQ on Data Mining & Text Mining with answers

If you are looking for MCQ on Data mining and text mining, then you are at the right place. In this blog post, we have below published around 30 important multiple choice questions on data mining, python etc;

MCQ on Data Mining and Text mining

1. By default, how many spaces are code intended when using the Python IDLE? 

4 

2. Text Mining is: 

Conceptual 

Theoretical 

Empirical 

All of the above 

3. Predictive text analytics tasks include 

Prediction 

Classification 

Clustering 

All of the above 

4. Which of the following technique is not a part of flexible text matching? 

Soundex 

 Metaphone 

 Edit Distance 

 Keyword Hashing 

5. Text Mining can be used in: 

Detecting spam model 

 Predicting stock Movements  

None of the above 

Both a and b 

6. Which of the following built-in data types are used for numbers in Python 3? 

str 

int 

bytes 

float 

7. Which of the following are the correct statements regarding similarities between text mining and data mining? 

Both of them use unstructured data for analysis 

Both are about learning from samples of recorded experiences or examples 

Both are about finding valuable patterns in data 

Analytics tasks are modeled using similar machine learning techniques 

8. Main theme in Text Mining is: 

Linguistic 

Theoretical 

Empirical 

All of the above 

9. Predictive text analytics tasks may include 

Prediction 

Classification 

Clustering 

All of the above 

10. In a text corpus of N documents, one document is randomly picked. The document contains a total of W words and the word ‘mining’ appears K times. What would be the cell value for the document in the ‘mining’ column of the binary spreadsheet model? 

1 

11. Which of the following are true about a text corpus and text mining? 

Set of features will be the total set of ‘unique words’ in the collection 

For a large text corpus, tabular layout can be too sparse 

All the cell values in the tabular layout are positive 

None of the above 

12. Which of the following are typical text mining problems? 

Document Classification 

Clustering and Organizing Documents 

Information Extraction 

Information Retrieval 

13. Which of the following is true about Python? 

Interpreted programming language 

Compilation of code is not done 

Not suitable for highly concurrent, multithreaded applications 

All of the above 

14. Text Mining is a field related to 

Computer Science 

Artificial Intelligence 

Natural Language Processing (NLP) 

All of the above 

15. Text Mining can be used in: 

Detecting spam 

Predicting stock movements based on news stories  

News stories categorization 

 All of the above 

16. Which of the following will not result in declaring x a data type of float? 

X = float(10) 

X = int(y) 

X = float.fromhex(“A) 

X = 5 

17. Identify the methods that can be used with sets (multiple answers)? 

Issuperset 

Isdisjoint 

Symmetric_difference 

Append 

18. Which characteristics describe the Python programming language (multiple answers)? 

It is a compiled language 

It is an open source language 

It is an interpreted language 

It is an assembly language 

19. By default, how many spaces are code intended when using the Python IDLE? 

4 

20. When using the Jupyter Notebook and a code block, what triggers the interpreter to begin evaluating the block of code? 

The semi-colon symbol 

The closed parenthesis 

The execute command 

A blank line 

21. Which statement will correctly assign x as an infinite number? 

X = pos_infinity 

X = float(‘inf’) 

X = inf(‘inf’) 

X = infinity 

22. Which of the following can be used to exit a while loop before the condition has been evaluated as false? 

break 

Exit 

Endpoint 

Stop 

23. Which statement will result in a slice of a tuple? 

a_tuple[0]=[5] 

a_tuple[:] 

a_tuple[::2] 

a_tuple[::-1] 

24. What methods can be used with the tuple object? 

Append 

Max 

Reverse 

Sorted 

25. Which of the following methods can be used with the dict class? 

Copy 

Lambda 

Keys 

Values 

Thanks for reading MCQ on data mining on our website.

Leave a Comment