Week 23 · learning day 3

Text-mining techniques

Social Media and Text Mining Tools & Techniques · 45–60 minutes

Today’s outcomes

  • Explain text-mining techniques in the context of social media and text mining tools & techniques.
  • Analyse a product decision using the source outcome rather than intuition alone.
  • Produce a reusable section of a text-analysis findings note.

Source trace

  • W23-O03 Apply tools to analyse datasets.
VideosRequired Assignment

Core lesson

Make the choice inspectable

Text-mining techniques matters when it changes a real allocation of attention, money, time, or delivery capacity. Text analysis converts unstructured language into evidence while preserving context.

Start by naming the decision and the uncertainty around it. Separate evidence from assumptions, compare at least one alternative, and state what would make you revise the choice.

The source outcome for today is: Apply tools to analyse datasets.

Decision lens
What decision will text-mining techniques improve, what evidence is sufficient for that decision, and what is the cost of being wrong?

Worked example

Text-mining techniques in practice

For a reader-feedback analysis service, the product manager must analyse a choice about text-mining techniques. The team records the target user and outcome, the evidence currently available, the strongest alternative, and the next reversible test. The recommendation is written as a choice with a reason—not as a list of features.

Do the work · 20 minutes

Turn the idea into a decision

  1. Choose a product you know and write the specific decision that text-mining techniques should support.
  2. List two pieces of evidence, two assumptions, and one credible alternative.
  3. Make a recommendation in three sentences and add one condition that would change it.

Save to your portfolio

A text-analysis findings note — section: Text-mining techniques

Knowledge check

Answer before opening

What is the decision at the centre of text-mining techniques?

A good answer names an accountable choice, not merely an activity or output.

How should evidence and assumptions be separated?

Label observed facts, interpretations, and untested beliefs explicitly so the next learning step is visible.

What makes the recommendation revisable?

It includes a trigger, threshold, or new evidence that would justify changing course.

What should the portfolio artefact communicate?

The context, considered alternatives, chosen direction, rationale, evidence, and remaining risk.

Scores below 80 appear in your review count.

Spaced review

Reconnect the learning

Reflection

Record your judgement

Confidence

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