Text Analytics for Business (MANP006)

ASSIGNMENT 2: TEXT ANALYSIS OF ROBOT SALES ROOM IN NEW YORK CITY

Assignment 2 (Worth 50%)

Submission: 11am Mon 13^th December 2021. A 2500 word Report, associated Orange Workflows and Data files.

This assignment requires you to develop a real-world text analytics solution that will be capable of instigating change in an organisation. You have already participated in an organisational task from a group perspective, and have specified a project in CRISP-DM. You will now deliver a text analytic solution.

Your task is to adopt your provided project plan and to pursue the text analysis that is specified. You are to perform the Data Preparation, Modelling and Evaluation as part of the CRISP-DM strategy prepared for Tesla as they seek to find suitable customers for their new line of humanoid robots, and to support Tesla in understanding opportunities and threats that surround the project.

You are to submit a report to Tesla presenting Five Text Analysis stories that offer compelling evidence for adopting five different strategies. The five strategies are expected to be persuasive, and aimed at supporting Tesla as it develops company strategy leading up to the roll out commercial robots.

You are specifically asked to address pressing questions of disruption, sustainability, risk management and data ethics. In doing so, you will help the Tesla to reflect on important considerations they will need to be addressed before taking the proposals forward.

Text Analytics Project Specification

You are to lead Tesla decision-making in 5 areas chosen from a relevant range of Themes. You can focus wholly on customer segments as defined in the sections of the New York Times. Or you can mix and match some of the newspaper segmentations with others that you consider important, perhaps from Twitter.

You are to design and develop a series of Orange Workflows of your choice for tesla using Text Analytics implemented in Orange Data-Mining. In addition, you are to write a report that is to be supplied with the workflows and data in answer to the project brief. You are also asked for a brief set of user guidelines showing how to use the workflows.

Submitted Report: Using The Storytelling Framework for Each of your Five Analyses

You should produce a suitable report, as described in our materials on report writing. The Main Body of the report should have five main sections, one for each of the analyses you have performed.

Five Orange Workflows

Figure 1: The Story-Telling Framework

Your Orange work should contain five Orange Workflows, each of which should support one of your Text Analytics stories.

Working with data

You should submit the Orange Workflows all associated data files along with your report in a zipped file.

Tasks

1. Using the New York Times AI dataset along with any other that you may have identified on Twitter, identify five compelling text analytics narratives that can inform Tesla policy in successfully introducing commercial humanoid robots to the marketplace.
2. Present your results in a 2,500 report that contains:
   • Title Page
   • Executive Summary
   • Table of Contents
   • Introduction
   • A Main Body which includes
     • A section on Data Preparation
     • The Five Key Analyses, (some details may be placed in an appendix)
     • Use screen shots from your Orange Data-Mining work to highlight important points, provide
     • Key recommendations for each narrative, and

v. Analysis of any pressing questions of disruption, sustainability, risk management or data ethics that need to be addressed in each narrative.

• A short user guide on how to use each of the workflows in Orange.
  • Recommendations and Conclusion, along with any necessary appendices.

• Recommendations and Conclusion, along with any necessary appendices.
• Submit your Orange files, and any Data Files.

Archive all of the files together (using zip) and submit the archived file in Canvas. Highlight the file you wish to submit in your home directory (use the students’ home directory icon for this). If you wish to make changes to a submitted file, just re-submit the amended version. The file with the latest date will be marked.

Please keep a backup of your file. Further details of the marking criteria can be found on the marking sheet which is in the module outline.

Good luck!!

Tom Kane, October 2021

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