Congratulations, you’ve just got a new job as analytics manager at the company of your
dreams. As you start to know more on how the company operates, you’ve realised that the
company could leverage Twitter information for their benefit, especially after you learned about
text analytics at a course in your MIM program.
You have decided to write a proposal to your manager aiming to convince her of the tremendous
opportunity you’ve found by writing a 2-page document detailing the benefits of leveraging
Twitter for the company or one of their business units.
Additionally, you plan to prepare a short demonstration of Text Analytics potential on Twitter by
analysing a sentiment analysis Twitter dataset that contains tweets from the first first days of
Coronavirus pandemic. You already worked with this dataset in class and you got some basic
but promising results. You aspire that just improving them a bit would be enough to demonstrate
to your manager that your proposal is doable.
In the document you plan to detail how text analytics on Twitter would help the company and
provide some details of the demo, i.e. how well your model works (both in analytics metrics and
in potential business terms), considering the short amount of time you’ve dedicated and the little
amount of data you’ve used.
With both deliverables you aspire to convince your manager to give you resources and time to
start working on the text analytics project you are proposing.
Deliverables:
– Dataiku Project.
– Proposal Document
The Dataiku project should include:
– All data processing steps you’ve carried out
– The analytical process you’ve carried out.
– Please indicate clearly where the results of your model are.
The document should include:
– Short description of the company and its sector (you can invent or use a real company)
– Why using Twitter analytics could help the company or one of its business units
– How you plan to leverage the information from Twitter to improve company operations/strategy.
– Description of the demo you’ve prepared, including the different steps you’ve followed to
prepare your data.
– Description of the results of your analysis and how demonstrate it is feasible to conduct
Evaluation criteria I will evaluate your work based on the quality of the following aspects of your
work:
– Description of the problem and the opportunity for your company.
– Description of how the solution would help the company.
– Description of what you’ve done in your Dataiku demonstration.
– How persuasive you’ve been. That is, how good your arguments are, taking into account the
company’s context.
. One final comment: I left for you to decide the company, its sector, and even the business
application of using Text Analytics on Twitter. There is a reason for that, and it is no other than
forcing you to think on these issues so you can demonstrate and show off that you’ve
understood how text analytics can be leveraged in a real business