Description
SEE
Assignment 2
Deadline: Thursday 31/07/2025 @ 23:59
[Total Mark for this Assignment is 15]
Student Details:
Name: ###
ID: ###
CRN: ###
Instructions:
• You must submit two separate copies (one Word file and one PDF file) using the Assignment Template on
Blackboard via the allocated folder. These files must not be in compressed format.
• It is your responsibility to check and make sure that you have uploaded both the correct files.
• Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between
words, hide characters, use different character sets, convert text into image or languages other than English
or any kind of manipulation).
• Email submission will not be accepted.
• You are advised to make your work clear and well-presented. This includes filling your information on the cover
page.
• You must use this template, failing which will result in zero mark.
• You MUST show all your work, and text must not be converted into an image, unless specified otherwise by
the question.
• Late submission will result in ZERO mark.
• The work should be your own, copying from students or other resources will result in ZERO mark.
• Use Times New Roman font for all your answers.
Restricted – مقيد
Question One
Pg. 01
Learning
Outcome(s): CLO
2
Describe
advanced
Business
Intelligence,
Business
Analytics, Data
Visualization, and
Dashboards.
.
Restricted – مقيد
Question One
3 Marks
“Natural language processing (NLP) is an important factor of text mining and is
a subfield of artificial intelligence and computational linguistics”, justify this.
Discuss two benefits and two challenges of NLP. Also discuss the three major
applications of NLP for educational purpose.
Question Two
Pg. 02
Learning
Outcome(s): CLO
5
Improve hands-on
skills using Excel,
and Orange for
building Decision
Support Systems.
Restricted – مقيد
Question Two
3 Marks
One major challenge faced by Group Support Systems is integration of diverse
perspectives. Explain the nature of this challenge and provide two
methodologies to overcome this challenge,
Question Three
Pg. 03
Learning
Outcome(s):CLO
4
Analyse various
industrial
applications of
DSS and their
limitations.
Restricted – مقيد
Question Three
3 Marks
Deep learning has been analyzed and implemented in various applications in industries
(such as Automotive, Financial Services, Healthcare) and has shown remarkable
results.
•
•
Find a deep learning use case (on the internet) and provide the link to this use
case.
Explain briefly, in your own word, the use case problem and how deep learning
was used to solve it?
Question Four
Pg. 04
Learning
Outcome(s):
CLO4:
Analyse various
industrial
applications of
DSS and their
limitations.
Restricted – مقيد
Question Four
2 Marks
What is the difference between Classic Machine-Learning and Deep Learning?
Question Five
Pg. 05
Learning
Outcome(s):
CLO4:
Analyse various
industrial
applications of
DSS and their
limitations.
Question Five
One of the text mining processes is to create the Term-by-Document Matrix.
▪
▪
▪
▪
Select any two short paragraphs in the same domain (e.g. sport, news) from any
sources. Note that the length of the paragraph should not be more than ten lines.
Copy and paste the two paragraphs in Document#1 and Document#2 below
sections, respectively
Identify and select any six unique terms from your documents/paragraphs.
Create the Term-by-Document Matrix for the selected terms and two
documents.
Document #1: (paragraph #1)
Document #2 (paragraph #2)
Restricted – مقيد
4 Marks
Purchase answer to see full
attachment
