emrgx

Fair enough. Not endorsing the idea of Cicada but it does open up an interesting conversation about the future of the internet. Can we really say "nope, the internet is good enough." That like saying "nope the horse and buggy works fine. why change it?" Not putting words in your mouth, just making a point about the general trend of trite comments here being hostile to new ideas. I think we should discuss the viability of the internet in the near future.

FWIW- I do agree they overthought everything.

White paper: https://github.com/the-laughing-monkey/cicada-platform/blob/...

I'm putting together a monthly newsletter featuring stories of the trials and triumphs of technological innovation in complex, regulated industries. Why? Because hard problems are not easily solved, but they’re worth doing. The first issue goes out March 31.

Some of the industries covered will be government, healthcare, finance, and defense. Each issue will contain a mix of original and curated articles that focus on quality and substantive insight.

Can you share some insights...what made you guys decide to go into consulting?How did you land your first client? Any lessons learned? Best of luck.

Hey a 1000 active users is great. Well done. Maybe show challenges that have active discussions on the front page to showcase your active user base?

Haven't had a chance to play with it yet but clicked around and it looks interesting. I like the idea of users posting their own coding challenges. The one thing I noticed this suffers from is a lack of a community base. Just clicking through the challenges on the front page I saw no discussions. But with that said I think this could be a neat application for new programmers. I know someone who is going through freecodecamp now. I'll ask them to take a look at this and see what they think.

Neo4j handles read/write seamlessly I have found, but I'm only around 10,000 nodes and 20,000+ edges. I've heard use cases for Neo4j in the range of 50M+ nodes. My position on this is not whether Neo4j can handle it but whether your code and infrastructure can.

Discourse has devolved so much it is going to be tough getting people to debate respectfully around different viewpoints. It might be better to recruit a handful of people who can set the tone for these debates and then eventually open it up for a larger community.

I agree with your sentiment about publications just rehashing the same story. That's a large reason why I started http://emergentdata.co. It's not political focused rather focuses on technological acceleration and large global issues like water scarcity and mass migration. I try to curate content around a few principles: -Try to get to the most original source -Stick to real events, avoid speculation and hearsay -Avoid sensationalist headlines

Good luck to you.

Edit: typo

Alchemy is doing all the NLP. Each article is extracted for concepts and entities (as defined by Alchemy in their documentation). I normalize each term that is extracted in order to prevent duplicates (there are some duplicates that still sneak through so it still requires a little bit of data maintenance). So the way this looks is that their is one node for a term say "Machine Learning." In one article "Machine Learning" is a concept with a negative sentiment and high relevance and another article it is an entity with low relevance but positive sentiment. The relationships house the sentiment and relevance properties: (machine_learning)-[relevance,sentiment]-(article).

The suggested readings sections pulls the most relevant concept of that article and finds connected articles with the same concept at a high relevance. This way suggested articles are more than just key word hits. It's all about relevance. I'm still continuing to tweak this query and there's a lot more that can be done with it such as matching sentiment and emotion. As the dataset grows I'll look to add a feature that pulls a list of articles based on a cluster of highly associated entities.

As for Alchemy, I've tried a number of different NLP APIs and, in my opinion, none of them have come close to matching Alchemy's accuracy. It does make mistakes but at a low enough level that it's easy to manually correct.

Hi HN: I built a curative news feed covering advancements in technology and global issues. I'm utilizing Neo4j and AlchemyAPI, as well as some custom code, to create a knowledge graph in the background. Have a few ideas of additional features for the dataset but would love to hear some feedback.

+1 for Neo4j and the web GUI. I use it on my side project. Cypher is very easy to learn. If your data is highly relational its a good choice.

Thank you!

The Information by James Gleick.

It is a good read on how information has changed humanity and is still doing so.

I Was just thinking of something similar today. I was reading a blog tutorial on a tool I am unfamiliar with but want to learn. The whole time I was wondering if this author knew what he was talking about. It would be nice to have a vetted list of tutorials that could be trusted to be utilizing best practices.

It seems like a lot of people are moving into the space to be the provider for creating structured data. I haven't seen any applications that are building a knowledge graph like Google for other to build applications on top of. Google turned theirs into a "knowledge vault" in order to build their own applications on top of it. It seems like it would be a good space to do what Google is doing but open it up for other to build apps.

Thanks for the response. Very informative.