Code: COMP 20040 Module Name: Text and Web Analytics

Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 1 of 13
Instructions to Student
General Instructions/information for the students for completing the assignment
 Answer all questions.
 Deadline of submission: 18/04/2021 23:59
 The marks received on the assignment will be scaled down to the actual weightage
of the assignment which is 50 marks
 Word Count 1500 +/- 10%
 Formative feedback on the complete assignment draft will be provided if the draft is
submitted at least 10 days before the final submission date.
 Feedback after final evaluation will be provided by 02/05/2021
Module Learning Outcomes
The following LOs are achieved by the student by completing the assignment successfully
1. Analyze the importance of text analysis and significant of text Mining
2. Analyze features of web data and its importance in web analytics
Assignment Objective
After completing this assignment, You will be able to apply the fundamentals of Text Analysis and Text
Mining techniques in various applications. You will also be able to evaluate and analyze various
techniques related to text analysis and web data analysis.
Assignment Tasks
Text and Web analytics plays a significant role in Data Analysis and Decision making. You as an
analyst, study the fundamental concepts of Text and Web Analytics and apply the knowledge on
solving the following tasks.
1. A brief work proposal discussing the following details must be uploaded on or before
30/03/2021 (10 Marks)
a. Understanding of Tasks
b. Timeline for completion of the given tasks and a Gantt Chart.
`
IN SEMESTER (INDIVIDUAL) ASSIGNMENT
Module Code: COMP 20040 Module Name: Text and Web Analytics
Level: 2 Max. Marks: 100
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 2 of 13
2. With the help of any 5 literatures, critically analyses and discuss the knowledge domain of
Text and Web Analytics. (30 Marks)
3. Data visualization can help decision makers while performing text and web analytics.
With reference to the mentioned context identify, illustrate, critically evaluate and discuss
the results of any 05 data visualization methods that can be used in text and web analytics.
You can use the open dataset available from UCI Machine Learning Repository (Link
https://archive.ics.uci.edu/ml/index.php ) or any other open dataset resources. (30 Marks)
4. Select any webpage/document, perform the following steps and design a word cloud.
Provide necessary discussions with evidences for each cases. (30 Marks)
i. Build a term transformation matrix
ii. Explore frequent terms and their association
iii. Generate the frequency table of words
iv. Plot word frequencies
v. Develop a word cloud
Rules & Regulations:
All resources should be cited using CU Harvard style.
 The final assignment must have a Title page, Table of Contents, References/ bibliography using
CU Harvard Style and page numbers.
 Title Page must have Assignment Name, Module name, Session, your name, ID, and the name of
the faculty.
 Softcopy in word format is to be submitted through Turnitin link on Moodle.
 Viva will be conducted after the assignment submission as per the dates informed earlier.
Guidelines:
 Assignment must be computer typed.
 Font – Times New Roman
 Font – Style – Regular
 Font – Size – 12
 Heading should be with Font Size 14, Bold, Capital and Underline.
 Explain with suitable diagrams wherever required. Diagrams must be drawn using suitable
software or by pencil.
 Each student has to do the assignment individually / Students have to do the assignment
collaboratively and each student should write a brief reflection on their contribution and learnings
from group work.
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 3 of 13
 You can refer books in eLibrary or use internet resource. But you should not cut and paste material
from internet nor provide photocopied material from books. The assignment answers should be
in your own words after understanding the matter from the above resources.
Important Policies to be followed
1. Student Academic Integrity Policy*:
MEC upholds the spirit of academic integrity in all forms of academic work and any form of violation
of academic integrity shall invite severe penalty. Any benefit obtained by indulging in the act of
violation of academic integrity shall be cancelled.
All cases of violation of academic integrity on the part of the student shall fall under any of the below
mentioned categories:
1. Plagiarism
2. Malpractice
3. Ghost Writing
4. Collusion
5. Other cases
If the student fails a module and has a proven case of academic integrity violation in this module, the
student is required to re-register the module. This is applicable to first and second offenders of
plagiarism.
1. Plagiarism
A. First offence of plagiarism
I. If a student is caught first time in an act of plagiarism during his/her course of study in
any assignment other than project work, the student will be allowed to re-submit the
assignment once, within a maximum period of one week. However, a penalty of
deduction of 25% of the marks obtained for the resubmitted work will be imposed.
II. Period of re-submission: The student will have to re-submit the work one week from the
date he or she is advised to re-submit.
III. If the re-submitted work is also found to be plagiarized, then that assessment will be
awarded a zero mark. Re-submission of the work beyond the maximum period of one
week will not be accepted and the assessment will be awarded a zero mark.
B. Second offence of plagiarism
If any student is caught second time in an act of plagiarism during his/her course of study (in a
subsequent semester), the student will directly be awarded zero for the work in which plagiarism
is detected. In such cases, the student will not be allowed to resubmit the work. A warning of
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 4 of 13
suspension shall be issued, and student has to sign an undertaking and undergo counselling
session in such cases.
2. Malpractice/Ghostwriting/Collusion
A. First offence of Malpractice/Ghostwriting/Collusion
If a student is caught in an act of Malpractice/Ghostwriting/Collusion for an assessment
component irrespective of coursework or end semester, the student shall fail the module
and shall be required to re-register the module
B. Second Offence of Malpractice/Ghostwriting/Collusion
If a student is caught a second time in an act of Malpractice/Ghostwriting/Collusion for
an assessment component irrespective of coursework or end semester, the student
shall fail the module. A warning of suspension shall be issued, and student has to sign
an undertaking and undergo counselling session in such cases.
3. Third Offence of Academic Integrity Violation
If a student is caught a third time in an act of Academic Integrity Violation for an assessment
component irrespective of coursework or end semester (in a subsequent semester), the student
shall fail the module and also shall be suspended for one semester from the College, as
recommended by institutional level academic committee, Chaired by the Associate Dean, Academic
Affairs.
4. Fourth Offence of Academic Integrity Violation:
If a student is caught a fourth time in an act of Academic Integrity Violation for an assessment
component irrespective of coursework or end semester (in a subsequent semester), the student shall
fail the module and also shall be expelled from the College, as recommended by institutional level
academic committee, Chaired by the Associate Dean, Academic Affairs.
5. Other cases
If a student commits an act of academic integrity violation as per the definition of “other cases”
mentioned in the previous section or of a different nature, student’s case shall be forwarded to an
institutional level academic committee, Chaired by the Associate Dean, Academic Affairs. The
committee shall investigate the case by means of a viva and/or a disciplinary hearing and shall take
appropriate decision. The penalty that can be granted to a proven case of academic integrity violation
which falls in this category of “other cases” can be a warning/component zero/ module
fail/suspension/expulsion depending on the nature and gravity of the offence.
6. Types/Variations of Cases:
I. If plagiarism is detected in any component of one assessment, the deduction in marks will be
applicable for the whole assessment, even if only the component or part submission alone needs
to be resubmitted.
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 5 of 13
II. If plagiarism is detected in a group assessment, all students of the group will be considered as
having committed an act of plagiarism and the policy will then be applied to all students
III. If plagiarism is detected in any component of a group assessment, the deduction in marks will be
applicable for the whole assessment even if only the component or part submission alone needs
to be resubmitted.
All students of the group would be considered as having committed an act of plagiarism and the
policy will then be applied to all the students of the group.
IV. If the assessment consists of components or part submissions that could be a group assessment
component (e.g. group assignment) and an individual assessment component (e.g. individual
reflection), the following will be applicable:
a. If plagiarism is detected in the group assessment component, all students of the group
will be considered as having committed an act of plagiarism, The policy will then be
applied to all students of the group. Group assessment component will be resubmitted
as per the policy.
b. If plagiarism is detected in the individual assessment component, the individual
assessment component will be resubmitted and the policy will then be applied to that
student alone.
c. For both (a) and/or (b), the deduction in marks will be applicable for the whole
assessment.
* for further details Refer to MEC Student Academic Integrity Policy in Student Handbook.
2. Late Submission Regulations:
It is the students’ responsibility to check all relevant timelines related to assessments.
As per the Assessment Policy at MEC, late submissions are allowed for one week (5 working days)
for all UG modules with a penalty. In such cases, a deduction of 5% of the marks obtained for the
submitted work shall be imposed for each working day following the last date of submission
till the date of actual submission. Assessment documents submitted beyond a period of one
week (5 working days) after the last date of submission will not be accepted and will be awarded
a zero for that assessment. In cases where the submission has been delayed due to extenuating
circumstances, the student may be permitted to submit the work without imposing the late
submission policy stated above. The extended period of submission will be one week from the
original last date of submission. In such cases, the student is expected to submit the supporting
certificates on or before the original last date of submission of the assessment and the decision
of extension rests with faculty responsible for the assessment .The late submission policy shall be
applied if the student fails to submit the work within one week of the original last date of
submission.
Students may contact their teachers for clarification on specific details of the submission time if
required.
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 6 of 13
3. Research Ethics and Biosafety Policy
To protect and respect the rights, dignity, health, safety, and privacy of research subjects involved
including the welfare of animals and the integrity of environment, all student projects are
expected to be undertaken as per the MEC Research Ethics and Biosafety Policy. Accordingly the
following shall apply.
 Research and other enterprise activities shall be conducted by maintaining the high ethical
standards consistent with national and international standards and conventions.
 Any research at MEC that is categorized as high-risk research shall be subject to review and
approval by the Research Ethics and Biosafety Committee.
 Research activities involving collection of human or animal tissues and manipulation of microbial,
animal or plant cells shall be subject to review and approval by the Research Ethics and Biosafety
Committee.
 Participants involved in research must be informed about the purpose of research and intended
uses of research findings. Written consent must be obtained from people involved prior to the
commencement of research.
 Data obtained from participants must be treated with high confidence and should be used only
for the intended purpose of research.
Assessment Evaluation Criteria
Classification
And % Range
Knowledge and
Understanding /
Application of Theory /
Evidence of Reading
Technical / Practical
Skills
Reflection and critical
analysis
General / Transferable
skills*
First Class
Outstanding
94 -100
 Outstanding
knowledge and depth
of understanding of
principles and
concepts.
 Outstanding ability to
apply the theoretical
concepts by
considering of
information
systematically.
 Evidence of reading a
wide range of
educational
literature/research and
where applicable
workplace strategies,
 Tasks completed with
very high accuracy.
 Outstanding skills in
interpretation of
results / and
accomplishing
practical tasks.
 Demonstrates high
degree of autonomy in
completing tasks
 Outstanding skills for
critical analysis,
evaluation and
synthesizing.
 Outstanding reflective
practices,
demonstrating
outstanding personal
learning and growth,
insight into required
professional values
and principles and
professional
development planning.
 Original Findings
presented with
 Outstanding ability to
use learning resources
 Outstanding
presentation, logically
structured, using
accurate grammar and
spelling.
 Mostly correct crossreferencing
and links
to supporting evidence
 Outstanding ability to
communicate the
information verbally
and in writing.
 Outstanding ability to
work in groups and to
manage teams.
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 7 of 13
policies and
procedures.
conviction and justified
very well
 Outstanding ability to
learn autonomously.
 Very accurate
referencing and
bibliography using
appropriate
referencing style
 Outstanding problem
solving skills and
outstanding decisionmaking
skills.
Excellent
84 – 93.99
 Excellent knowledge
and depth of
understanding of
principles and
concepts.
 Excellent ability to
apply the theoretical
concepts by
considering of
information
systematically.
 Evidence of beyond the
minimum expected
range of of educational
literature/research and
where applicable
workplace strategies,
policies and
procedures.
 Tasks completed with
high accuracy.
 Excellent skills in
interpretation of
results / and
accomplishing
practical tasks.
 Excellent skills for
critical analysis,
evaluation and
synthesizing.
 Excellent reflective
practices,
demonstrating
excellent personal
learning and growth,
insight into required
professional values
and principles and
professional
development planning.
 Findings presented
with conviction and
justified well
 Excellent ability to use
learning resources
 Excellent presentation,
logically structured,
using accurate
grammar and spelling.
 Mostly correct crossreferencing
and links
to supporting evidence
 Excellent ability to
communicate the
information verbally
and in writing.
 Excellent ability to
work in groups and to
manage teams.
 Excellent ability to
learn autonomously.
 Accurate referencing
and bibliography using
appropriate
referencing style
 Excellent problem
solving skills for
decision-making skills.
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 8 of 13
Second Class, Upper Division
Very Good
77 – 83.99
 Very good knowledge
and depth of
understanding of
principles and
concepts.
 Very good ability to
apply the theoretical
concepts by
considering of
information
systematically.
 Evidence of reading a
very good number of
educational
literature/research and
where applicable
workplace strategies,
policies and
procedures.
 Tasks completed with
very good accuracy.
 Very good skills in
interpretation of
results / and
accomplishing
practical tasks.
 Very good skills for
critical analysis,
evaluation and
synthesizing.
 Very good reflective
practices,
demonstrating very
Good personal learning
and growth, insight
into required
professional values
and principles and
professional
development planning.
 Findings presented
with conviction with
very good justification
 Very good ability to use
learning resources
 Very good
presentation, logically
structured, using
accurate grammar and
spelling.
 Mostly correct crossreferencing
and links
to supporting evidence
 Very good ability to
communicate the
information verbally
and in writing.
 Very good ability to
work in groups and to
manage teams.
 Very good ability to
learn autonomously.
 Precise referencing
and bibliography using
appropriate
referencing style
 Very good problem
solving skills decisionmaking
skills.
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 9 of 13
Second Class, Lower Division
Good
70 – 76.99
 Good knowledge and
depth of
understanding of
principles and
concepts.
 Good ability to apply
the theoretical
concepts by
considering of
information
systematically.
 Evidence of reading a
good number of
educational
literature/research and
where applicable
workplace strategies,
policies and
procedures.
 Tasks completed with
good accuracy.
 Good skills in
interpretation of
results / and
accomplishing
practical tasks.
 Good skills for critical
analysis, evaluation
and synthesizing.
 Good reflective
practices,
demonstrating good
personal learning and
growth, insight into
required professional
values and principles
and professional
development planning.
 Findings presented
with conviction and
good justification.
 Good ability to use
learning resources
 Good presentation,
logically structured,
using accurate
grammar and spelling.
 correct crossreferencing
and links
to supporting evidence
 Good ability to
communicate the
information verbally
and in writing.
 Good ability to work in
groups and to manage
teams.
 Good ability to learn
autonomously.
 Good referencing and
bibliography using
appropriate
referencing style
 Good problem solving
skills and decisionmaking
skills.
Third Class
Satisfactory
60 – 69.99
 Satisfactory knowledge
and depth of
understanding of
principles and
concepts.
 Fair application of the
theoretical concepts by
considering of
information
systematically.
 Evidence of reading a
fair number of
educational
literature/research and
where applicable
workplace strategies,
policies and
procedures.
 Tasks completed with
satisfactory accuracy.
 Satisfactory skills in
interpretation of
results / and
accomplishing
practical tasks.
 Satisfactory skills for
critical analysis,
evaluation and
synthesizing.
 Satisfactory reflective
practices,
demonstrating fair
personal learning and
growth, insight into
required professional
values and principles
and professional
development planning.
 Findings presented
with conviction and
satisfactory
justification.
 Satisfactory
presentation, logically
structured, using
accurate grammar and
spelling.
 Satisfactory crossreferencing
and links
to supporting evidence
 Satisfactory ability to
communicate the
information verbally
and in writing.
 Satisfactory ability to
work in groups and to
manage teams.
 Satisfactory ability to
learn autonomously.
 Satisfactory
referencing and
bibliography using
appropriate
referencing style
 Satisfactory problem
solving skills and
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 10 of 13
exceptionally
competent for
decision-making.
Acceptable
/ Pass
50 – 59.9
 Basic knowledge and
depth of
understanding of
principles and
concepts.
 Basic ability to apply
the theoretical
concepts by
considering of
information
systematically.
 Evidence of reading a
few number of
educational
literature/research and
where applicable
workplace strategies,
policies and
procedures.
 Tasks completed with
minimum acceptable
accuracy.
 Acceptable skills in
interpretation of
results / and
accomplishing
practical tasks.
 Basic skills for critical
analysis, evaluation
and synthesizing.
 Basic reflective
practices,
demonstrating some
personal learning and
growth, insight into
required professional
values and principles
and professional
development planning.
 Findings presented
with conviction and
acceptable
justification.
 Acceptable
presentation, logically
structured, using
accurate grammar and
spelling.
 Acceptable crossreferencing
and links
to supporting evidence
 Basic ability to
communicate the
information verbally
and in writing.
 Basic ability to work in
groups and to manage
teams.
 Basic ability to learn
autonomously.
 Basic referencing and
bibliography using
appropriate
referencing style
 Basic problem solving
skills and decisionmaking
skills.
Fail / Poor
<50
 Inadequate knowledge
and understanding of
principles and
concepts.
 Poor application of the
theoretical concepts
 No evidence of reading
educational
literature/research and
where applicable
workplace strategies,
policies and
procedures.
 Tasks not completed
 Poor skills in
interpretation of
results / and
accomplishing
practical tasks.
 Poor skills for critical
analysis, evaluation
and synthesizing.
 Poor reflective
practices,
demonstrating some
personal learning and
growth, insight into
required professional
values and principles
and professional
development planning.
 Findings presented
unconvincingly with
improper justification.
 Poor presentation,
logically structured,
using accurate
grammar and spelling.
 Inadequate crossreferencing
and links
to supporting evidence
 Poor ability to
communicate the
information verbally
and in writing.
 Poor ability to work in
groups and to manage
teams.
 Poor ability to learn
autonomously.
 Inadequate
referencing and
bibliography using
appropriate
referencing style
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 11 of 13
 Poor problem solving
skills and decisionmaking
skills.
COMP 20040 – Text and Web Analytics
ID NO. __________________ NAME : ______________________________________
Deliverables Aspects <5
Poor
5.1-6.5
Weak
6.6-7.3
Adequate /
Satisfactory
7.4 – 7.9
Good
8 – 8.6
Very Good
8.7 – 9.0
Excellent
9.1-10
Outstanding
Marks
Task1 / Q. 1 Work
Proposal
Poor / No
relevant
discussion of
Work Proposal.
Poor or no
relevant
identification
of key
components of
work proposal
as specified in
the QP.
Poor academic
writing.
Weak
discussion
about
components
of work
proposal.
Incomplete
discussion
on specific
key
components
observed.
Academic
writing
found weak.
Adequate /
Satisfactory
discussion
about key
components
of work
proposal.
Drastic
improvemen
ts needed in
the
discussion
and specific
discussion
on work
proposal
not
provided.
Academic
writing
needs
drastic
improvemen
ts.
Good
discussion
about work
proposal
However
improvement
s needed in
the discussion
of specific
key
components
of the work
proposals.
Academic
writing needs
improvement.
Very Good
discussion
of most of
the key
aspects of
work
proposal
Discussions
supported
by relevant
and specific
views.
However,
still
refinement
possible.
Scope of
improveme
nt exist in
academic
writing.
Excellent
discussion
of work
proposal.
Discussions
supported
by all most
all of the
key
component
s of the
work
proposals.
Outstanding
discussion of
work
proposal.
Discussions
supported by
all the key
components
of the work
proposals.
Relevant key
aspects and
critical
evaluations
highlighted.
Deliverables Aspects <15
Poor
15.1-19.5
Weak
19.6-21.9
Adequate /
Satisfactory
22-23.7
Good
23.8-25.8
Very Good
25.9-27
Excellent
27.1-30
Outstanding Marks
Task 2/ Q. 2 Literature
Review
Poor
discussion of
Literature
Review.
Poor or no
relevant
identification
of key
components of
Literature
Review as per
standards.
Poor academic
writing on
Literature
Weak
discussion
about
Literature
Review.
Incomplete
discussion
on specific
key
components
observed.
Academic
writing on
Literature
Review
found weak.
Adequate /
Satisfactory
discussion
about
components
of Literature
Review.
Drastic
improvemen
ts needed in
the
identificatio
n and
discussion.
Specific key
point
Good
discussion
about
Literature
Review
provided.
However
improvement
s needed in
the
identification
and
discussion of
specific key
components
of the
Literature
Very Good
discussion
of most of
the key
aspects of
Literature
Review.
Discussions
supported
by relevant
and specific
views.
However,
still
refinement
possible.
Excellent
discussion
of
Literature
Review
component
s.
Discussions
supported
by all most
all of the
key
component
s of the
Literature
Review of
the
Outstanding
discussion of
Dimensions of
Literature
Reviews.
Discussions
supported by
all the key
components
of the
Literature
Review
components.
Relevant key
aspects and
critical
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 12 of 13
Review
observed.
discussion
on Literature
Review not
provided.
Academic
writing
needs
drastic
improvemen
ts.
Review
aspects.
Academic
writing needs
improvement.
Scope of
improveme
nt exist in
academic
writing.
selected
literatures.
However
critical
analysis
can be
improved.
evaluations
highlighted.
Deliverables Aspects <15
Poor
15.1-19.5
Weak
19.6-21.9
Adequate /
Satisfactory
22-23.7
Good
23.8-25.8
Very Good
25.9-27
Excellent
27.1-30
Outstanding Marks
Task 3 / Q. 3 Data
Visualizatio
ns
Poor
discussion Data
Visualizations
provided.
Poor or no
relevant
identification
of key
components of
Data
Visualization
as per
standards.
Poor
illustrations /
discussion on
reflections of
Data
Visualization
provided.
Academic
writing found
poor.
Weak
discussion
and
illustration
of Data
Visualization
provided.
Incomplete
illustrations
on specific
key
components
observed.
Weak
illustrations
/ discussion
on critical
analysis of
Data
Visualization
provided.
Academic
writing
found weak.
Adequate /
Satisfactory
discussion
and
illustration
of Data
Visualization
components
provided.
Drastic / Lot
of
improvemen
ts needed in
the
discussion,
illustration
and critical
evaluation
of most of
the key
components
of Data
Visualization
.
Academic
writing
needs
drastic
improvemen
ts
Good
discussion
about Data
Visualization
provided.
However
improvement
s needed in
the
identification
and
discussion of
specific key
components
of the Data
Visualization
aspects.
Academic
writing needs
improvement.
Very Good
discussion
of most of
the key
aspects of
Data
Visualizatio
n.
Discussions
supported
by relevant
and specific
views.
However,
still
refinement
possible.
Scope of
improveme
nt exist in
academic
writing.
Excellent
discussion
of Data
Visualizatio
n
component
s.
Discussions
supported
by all most
all of the
key
component
s of the
Data
Visualizatio
n of the
selected
analysis.
However
critical
analysis
can be
improved.
Outstanding
discussion of
Data
Visualization.
Discussions
supported by
all the key
components
of the Data
Visualization
components.
Relevant key
aspects and
critical
evaluations
highlighted.
Deliverables Aspects <15
Poor
15.1-19.5
Weak
19.6-21.9
Adequate /
Satisfactory
22-23.7
Good
23.8-25.8
Very Good
25.9-27
Excellent
27.1-30
Outstanding Marks
Task 4 / Q 4 Word
Cloud
Design
Poor or no
discussion of
steps and
design of
Word Cloud.
Poor or no
relevant
identification
of key
Weak
discussion
on steps and
design of
Word Cloud
provided.
Incomplete
discussion
on steps and
Adequate /
Satisfactory
discussion of
design of
Word Cloud
provided.
Drastic / Lot
of
improvemen
Good
discussion
about steps
and design
of Word
Cloud
provided.
However
improvement
Very Good
discussion
of most of
the key
aspects of
steps and
design of
Word
Cloud
provided.
Excellent
discussion
of steps
and design
of Word
Cloud.
Discussions
supported
by all most
Outstanding
discussion of
steps and
design of
Word Cloud
Discussions
supported by
all the key
components
Text and Web Analytics (COMP 20040) – Spring – 2021 – CW 1(Assignment) –QP
MEC_AMO_TEM_035_01 Page 13 of 13
components of
steps and
design of
Word Cloud.
Poor
discussion on
reflections of
steps and
design of
Word Cloud.
Academic
writing found
poor.
specific key
design of
Word Cloud
components
observed.
Weak
discussion
on
reflections
of design of
steps and
design of
Word Cloud
provided.
Academic
writing
found weak.
ts needed in
the
discussion
and critical
evaluation
of most of
the key
components
of steps
and design
of Word
Cloud.
Academic
writing
needs
drastic
improvemen
ts
s needed in
the
identification
and
discussion of
specific key
components
of steps and
design of
Word Cloud
though
specific key
aspects.
Academic
writing needs
improvement.
Discussions
supported
by relevant
and specific
views on
key
component
s steps and
design of
Word
Cloud.
However,
still
refinement
possible.
Scope of
improveme
nt exist in
academic
writing.
all of the
key
component
s of steps
and design
of Word
Cloud.
However
improved
reflections
of critical
analysis
can be
demonstrat
ed.
of the steps
and design
of Word
Cloud.
Relevant key
aspects and
critical
evaluations
highlighted in
the
discussions.
Signature of the Evaluator :
Total Marks
Comments :
Penalty
Final Marks