AstraAI

Language Β· sentiment

Happy or sad message?

In the curriculum:Language (NLP)See the map β†’
πŸŽ“ School maths Β· Years 4–5Number β€” negative numbers β€” Add +1 and βˆ’1 to a running total and read its sign.Maths by year β†’

The Case. How does an app know a review is positive? It reads the words. Let's teach a computer to feel the mood of a message.

Your tools. Two word-lists β€” happy words and sad words. The computer scores +1 for happy, -1 for sad.

Investigate. Press Run. The score decides: happy, sad, or in-between.

  • Write a mean message and a kind one β€” does it agree with you?
  • Real sentiment AI works the same way, just with thousands of words it learned.
your_code.py
Starting Python…
The Reveal

Starting Python… (first time only β€” a few seconds)

πŸ—’οΈ Detective's notes

Bundles your findings, chart and code into one PDF you can keep, print or hand in.

🧩 How this code works

The tools it uses

  • Matplotlib β€” your crayon box β€” it turns numbers into charts and pictures.

What this one does

  • β€’ It draws a bar chart β€” great for comparing amounts.

How to read it, top to bottom

  1. 1. Import β€” bring in the tools (listed above).
  2. 2. The data β€” the lists and numbers near the top. These are the bits you change.
  3. 3. The work β€” a little maths, or a loop that repeats a step.
  4. 4. Show it β€” print(...) writes words; plt.show() draws the picture.

Use it for your own problems

  • Change the numbers at the top and press Run β€” nothing breaks, so experiment!
  • Ask your own version of the question β€” swap in your family, your scores, your week.
  • The same tools work on any numbers β€” that's the superpower you're learning.
Need a hint?

Add your own words to the HAPPY and SAD sets to make the computer smarter.