Assessment 2.1 - Project Preliminary Report

Component of Assessment Scheme: $1^{st}$ of 2 assessments for this course
Due Date: Week 7

Description

For this assessment task, you will investigate the feasibility of your proposed business question and outline the plan for your project implementation. You will undertake a preliminary study on the business question that includes situating the problem, sourcing and acquiring social media data, performing exploratory data analysis and proposing a solution. Write a 1125-word preliminary report that assesses the feasibility of the business question and discusses the data acquisition and preparation.

For further information and detailed instructions, see the section below on Assessment instructions.

Aims

This assessment is for you to demonstrate your knowledge and ability to develop a project based on a business question that can be addressed using text and social media analytics. This preliminary report is an important part of the project that helps you to structure your final implementation report and forms a framework for your final assessment.

By completing this assessment, you would be meeting the following course objectives:

• CLO 1 - Extract text and other data types from web sites.
• CLO 2 - Determine the data requirements to extract from web and social network sites needed to address a business problem

Criteria

You will be assessed on your ability to:

• Develop a project on a business question applicable to text and social media analytics and propose a feasible and scalable solution to the project
• Appropriately acquire data from public-facing sources and perform preliminary data cleaning and exploration
• Present a report in an organised, structured and logical manner and express ideas without any errors.

Instructions

The preliminary report is suggested to be structured in the following manner:

1. An introduction section with 2-3 paragraphs, including:
   • A brief overview of the background and context of your business question
   • A description of the aims and objectives of investigating the business question
   • A clear statement of your business question. The business question stated here should be more refined and persuasive than the one you proposed originally based on the feedback you received previously and progress of your data acquisition.
   • Note that if you change your business question from the progress report completely, please provide one short paragraph explaining the reasons.
2. A proposed solution section up to 1 page, covering:
   • A flowchart of your proposed analysis plan to address your business question. Include a brief discussion on each main phase in the flowchart. Use dot points if necessary.
   • A justification of the analysis you propose to implement on the data in answering your business question, including concepts and techniques covered in this course. Name at least 2 types of text analysis and explain how the data is expected to be analysed to find the answers. Please also be prepared to apply supervised learning models on your dataset for the benchmarking evaluation in Assessment 2.2. Don't worry too much at this stage as we will guide you how to do it the following weeks.
   • A short description with 3-4 sentences on your expected outcomes of the proposed analysis plan.
3. An exploratory data analysis section that consists of:
   • A short discussion with 2-3 sentences on the data acquisition process, including data source(s) and data collection methods.
   • A brief summary with 1 to 2 short paragraphs of the data preparation process, including methods applied for preliminary data cleaning and filtering and preprocessing steps needed to make the data applicable to the two types of text analysis proposed in the previous section.
   • Note: that in regard to the data preparation, you only need to perform preliminary data cleaning and filtering, such as removing duplications and filtering out data based on a threshold of the length. You may not know how to apply some preprocessing techniques at this stage, but please briefly describe how you think the data might need further pre-processing to make it useable in the analysis.
   • A presentation of the data exploration results with at least 5 visualisations, including charts, diagrams, tables, infographics etc., summarising the features of the data. Include a short summary for each visualisation.
   • Note that all visualisations should be clearly readable and interpretable with appropriate captions, labels, legends and titles.
4. A references section listing all references that you have cited in the project preliminary report (at least 3 references are required).
5. An appendix section outlining the physical properties of the data you acquired so far, including type, size, variables, timeframe etc, and other necessary additional information.

Submission requirements:

Write a 1175 -word (+/- 10%) project preliminary report following the structure suggested in the description. Note:

• Word count is exclusive of tables, figures (including associated legends) and references.
• Your final submission must be in a .pdf file with file name username_uotsma_assessment2.1.pdf, where username is your university network username / email ID (e.g. bonjy0007).

Advice and Resources

Reviewing course lectures, learning activities and practicals from Weeks 1 to 2 and 4 to 6 will provide sufficient preparation for this assessment task.

Referencing style: Use the APA 7 style of referencing in-text citations. Refer to section on ‘APA 7’ here http://www.unisa.edu.au/referencing

The references for data used, if any, can be included in the references section. References must be available when the assignment is being marked.

Download the report template below

Academic Integrity

This must be your own, original, individual work.

Academic integrity is the foundation of university life and is fundamental to the reputation of UniSA and its staff and students. Academic integrity means a commitment by all staff and students to act with honesty, trustworthiness, fairness, respect and responsibility in all academic work.

An important part of practising integrity in academic work is showing respect for other people's ideas, and being honest about how they have contributed to your work. This means taking care not to represent the work of others as your own. Using another person's work without proper acknowledgement is considered Academic Misconduct, and the University takes this very seriously.

The University of South Australia expects students to demonstrate the highest standards of academic integrity so that its degrees are earned honestly and are trusted and valued by its students and their employers. To ensure this happens, the University has policies and procedures in place to promote academic integrity and manage academic misconduct. One of the tools used in this course to check all work submitted electronically by students for assessment is Turnitin.

More information about academic integrity and what constitutes academic misconduct can be found in Section 9 of the Assessment Policies and Procedures Manual (APPM).

The Academic Integrity Module explains in more detail how students can work with integrity at the University.

Feedback

Your submissions will be marked and returned with feedback in about ONE week You can utilise this feedback to improve your understanding and get better prepared for the project. Please refer to the marking rubric for grading criteria.