The data is in
More than 3,500 submissions for the first episode of “That’s Debatable” have been received, analyzed and distilled into key point narratives. See how Watson’s natural language processing (NLP) technology works and try it for yourself.
It’s time to redistribute the wealth
1600 usable arguments,
20 final key points,
2 coherent narratives, one for each side
1 from the first episode of That’s Debatable
Watson uses the latest innovations in natural language processing, available in products like Watson Discovery, to identify the most significant key points and generate a coherent narrative. The four-step process outlined below ensures that the strongest, most popular arguments are represented in the final narratives.
Step 1 — Classify arguments
Usable arguments:Arguments used in key point analysis
Unusable arguments:Arguments deemed to be off topic, of unclear stance, or of lower quality
Step 2 — Identify key points
Step 3 — Match arguments to key points
per pro key point count:
per con key point count:
Step 4 — Generate narrative
Key point analysis
Outcome of key point analysis
Below you can browse the full set of key points identified for and against the topic and all the processed arguments. Click on a key point to drill down and see the arguments supporting that key point, and to get deeper insights on the nuances of the argument. You can view and sort the related arguments by their assessed quality, confidence in match to key point and confidence in polarity identification.
Try it yourself
See how your powers of persuasion stack up. Submit an argument either for or against the topic statement below, then click “Match to key point” to find out if your argument aligns with one of the key points, and how it ranks in comparison to the other statements supporting the same key point.
A U.S.-China Space Race is good for Humanity
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