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DADS402 UNSTRUCTURED DATA ANALYSIS

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DADS402 UNSTRUCTURED DATA ANALYSIS
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Description

Description

SESSION July 2023
PROGRAM MASTER OF BUSINESS ADMINISTRATION (MBA)
SEMESTER IV
course CODE & NAME DADS402 – Unstructured data analysis
CREDITS 04
nUMBER OF ASSIGNMENTS & Marks 02

30 MARKS EACH

 

Assignment Set – 1

 

1 (a) Define unstructured data and give three real-world examples of where it can be found.

 (b) Differentiate between structured and unstructured data. Highlight three key differences.

 

2 (a) Describe the process of feature extraction in textual data. Why is this step crucial in data analysis?

 (b) Discuss the role of pictorial data in unstructured data analysis. Give two scenarios where pictorial data analysis can be beneficial.    

 

3 Describe different sentiment analysis models. How can one perform sentiment analysis using R?  

 

Assignment Set – 2

 

4 Explain the differences between SQL and NoSQL databases. Why might a business choose a NoSQL database for certain applications?  

 

5 Briefly describe three types of NoSQL databases and provide a case scenario for each.

 

6 (a) Discuss the significance of audio data in today’s digital age. How is it generally processed for analytical purposes?

6 (b) Introduce the concept of video classification. What are the main challenges and techniques used in video data classification?    5+5     

 

Additional information

Assignment Type

General, Unique

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