Curation is always the next step after explosion of content. Yahoo was curation of the whole internet. Then it got too hard. Now, we have enough content in tiny sub-niches to need curation on that level. I definitely see the need for curation of resources around the topic I am interested in (Apache Solr).
Unfortunately, I haven't seen a good software platform that actually allows to build a good curation site. Ones that exist want you to build the content for them. I want one I can run/own/brand on my own. I suspect there might be some in the library space though (haven't search _very_ hard yet).
If your time is free - sure. I prefer to outsource markup consistency, repetition of same content under different tags, and promoted items management to software.
There always seemed to be a need for dedicated lists. Rather than curate, I'm trying to build a dedicated mini "search engine" for Swift/iOS Resources: http://www.h4labs.com/dev/ios/swift.html
The Internet contains so much information on any given topic that if you have a question, it probably has already been answered. If we could build better search engines, we could learn anything in a fraction of the time.
The web had a chaotic growth in the first decades but now it looks as if on one end, the larger websites have killed smaller ones, and on the other it has grown so large that search is no longer enough.
The search engine doesn't find because it doesn't exist. A list is better than nothing. How to get things done is more interesting. At least Coursera NLP course is good, but it's only an introduction.
Looking up ready to use NLP software you can go with Solr and that's it. What I mean is that there is way too much NLP libraries. That said, it might be because there is many ways to do it. Anyway, I really think we need scikit learn for NLP.
