The above is a picture of the Rosetta Stone. From the Wikipedia article:

The stone was carved during the Hellenistic period and is believed to have originally been displayed within a temple, possibly at nearby Sais. It was probably moved in late antiquity or during the Mameluk period, and was eventually used as building material in the construction of Fort Julien near the town of Rashid (Rosetta) in the Nile Delta. It was discovered there in July 1799 by French soldier Pierre-François Bouchard during the Napoleonic campaign in Egypt. It was the first Ancient Egyptian bilingual text recovered in modern times, and it aroused widespread public interest with its potential to decipher this previously untranslated hieroglyphic script. Lithographic copies and plaster casts began circulating among European museums and scholars. The British defeated the French and took the stone to London under the Capitulation of Alexandria in 1801. It has been on public display at the British Museum almost continuously since 1802 and is the most visited object there.

Well hey all 🙂 Happy Holidays – I hope everyone is safe and full of cured meats.

I had an idea over a portion of cured meat while thinking of a couple of my favourite holiday readings (“War and Peace” by Leo Tolstoy 1869 (never finished), and “The Old Man and the Sea”, by Ernest Hemingway 1952), which was a melding of:

  • Canonical pieces of literature which are in data-science terms impermeable, meaning that they resist digestion and reduction by us or machines – yet they are special because they have spoken to billions and have stood the test of time.
  • We now have off-the-shelf deep learning APIs which can ingest a sentence or paragraph and return insights on a range of features with ratings as against a massive corpus. Scale this up, blend the results, arrive at a sentiment per unit.
  • I propose to present the precis of these texts in an initially 2×2 laptop-viewable matrix of sentiment progression shown as a stream of emojis. Emojis are a great choice because they are intentionally small and information-rich, or summarizing. They appeal to all, are intent-dense, and are evolving and so changes along with cultural shifts can be accomodated and expanded, and so appeal to cross-generational audiences. Like Twitter when there’s a geopolitical crisis… ya 🙂
  • Taken as a whole this may present a high cognitive load review of texts which have been otherwise overlooked or deemed inaccessible. I’m sure the high cognitive demand is covered given the information overload of today. Perhaps this engages that new ability to discern complex features and form a view in short order.

More to follow. Suggestions as to other texts welcome.