INFS5730 – Social Media and Enterprise 2.0
SAS Hands-On Assignment -SAS Visual Text Analytics
In this hands-on assignment you are required to conduct a textual analysis using SAS Visual Text Analytics and submit a report on Moodle course site through Turnitin. The due date of this assignment is on Week 8, Friday 9:00am 8th April 2022 (AEST).
Please note that this assignment is worth 15% of your overall course mark.
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Requirements
The purpose of this assignment is to use SAS Visual Text Analytics to analyse a dataset labelled CFPB_COMPLAINTS available on SAS Viya for Learners.
The dataset includes 10,000 customer complaints submitted to the Consumer Financial Protection Bureau (CFPB), a federal government agency. These complaints are about credit cards, mortgages, bank accounts, student loans, consumer loans, credit reporting, money transfers, and debt collection.
You are required to conduct a data analysis of customer complaints using SAS Visual Text Analytics in two parts. Part 1 consists of exploring predefined concepts and automatically generated topics to derive insights from the data. Part 2 consists of defining your own custom concepts and custom categories to answer specific research questions.
Your report should have the following components:
• A standard cover page (available on Moodle). • Part1
o Predefined Concepts (worth 20% of the available marks) – up to 5 pages
An exploration of the dataset using TWO (2) relevant predefined concepts.
For each selected predefined concept, your answer must include the following:
– An explanation of why you think the selected predefined concept can be
relevant to your data analysis.
– A discussion of the findings (terms extracted) and the insights that you could
unveil from these findings. Include a relevant screenshot of matched terms
from SAS Visual Text Analytics.
– A discussion of the benefits and limitations of relying only on the selected
predefined concepts.
o Auto-generated Topics (worth 30% of the available marks) – up to 4 pages
CRICOS Provider Code 00098G
– An exploration of the dataset using TWO (2) relevant topics among those automatically generated by SAS.
For each selected topic, your answer must include the following:
– An explanation of why you think the selected topic can be relevant to your data analysis.
– A discussion of the findings (documents matching the selected topic) and the actionable insights you could derive from these findings. Include a relevant screenshot of matched documents from SAS Visual Text Analytics.
o Custom Concepts (worth 30% of the available marks) – up to 4 pages
Write TWO (2) custom concepts, each using a different concept rule type. For each custom concept, your answer must include the following:
– An explanation of the objectives of your analysis
– A justification of the reasons behind your choice of the concept rule type
– The custom concept rule (pay attention to the syntax for correctness and to
fulfil the objectives of your analysis)
– A detailed explanation of the concept rule syntax
– A discussion of the findings (terms extracted) and insights that you could
derive from these findings. Include a relevant screenshot of matched terms
from SAS Visual Text Analytics.
o Custom Categories (worth 20% of the available marks) – up to 4 pages Write TWO (2) custom categories.
– An explanation of the objectives of your analysis
– The custom category rule (pay attention to the syntax for correctness and to
fulfil the objective of your analysis)
– A detailed explanation of the category rule syntax
– A discussion of the findings of your analysis (documents matching the custom
category) and insights that you could unveil from these findings. Include a relevant screenshot of matched documents from SAS Visual Text Analytics.
Submission instructions
Please submit a word document to the Turnitin assessment submission link on Moodle.
Late submission will incur a penalty of 5% per day or part thereof (including weekends) from the due date and time. An assessment will not be accepted after 5 days (120 hours) of the original deadline unless special consideration has been approved. An assignment is considered late if
the requested format, such as hard copy or electronic copy, has not been submitted on time or where the ‘wrong’ assignment has been submitted.
There is no word limit perse, just a page limit as described in the requirements above. Font should be no smaller than Arial 12, with standard margins. The spacing must be 1.5. Please note that material exceeding the page limit will not be considered when grading the assignment.
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