21–30 of 68 posts
Tried the rss feed from my blog and got an NPE: http://blog.medusis.com/rss Does it expect a specific format?
Very cool! I can't wait for it to be open sourced.
Here's a preview of mine (http://www.textteaser.com/ui/article?link=http%3A%2F%2Fwww.p...). Go to its home page to read more news. It caters Philippine news and will soon enters alpha stage. I'm planning to open up the API or open source it. HN, which is better? The API is ready, registration is the only thing that it lacks.
You can try the API here: http://api.textteaser.com/api/?url=http://www.theverge.com/2...
Just replace the url parameter with the URL of what you want to summarize. Some URLs are not tested yet, and may produce errors. :)
Hello. I recently finished my thesis for my MS CS degree. My thesis is about automatic summarization. It undergoes research, defense, and I think its result is good enough for me. It uses statistical approach and machine learning. My main issue about it is not the summarization part, but the text extraction part. I can't seem to extract article in a web page well enough. I'm using boilerpipe ( https://code.google.com…
Hello. I recently finished my thesis for my MS CS degree. My thesis is about automatic summarization. It undergoes research, defense, and I think its result is good enough for me. It uses statistical approach and machine learning. My main issue about it is not the summarization part, but the text extraction part. I can't seem to extract article in a web page well enough. I'm using boilerpipe ( https://code.google.com…
You should try diffbot. They use a vision based method to extract text from webpages. The tool looks pretty polished and seems to work rather well.
YES. As a college student, this is amazing for those long readings for classes one isn't interested int. I wanted to build sort of the reverse of this at one point (take a question/prompt as input, generate a response). Are you planning on open sourcing this?
yeah, I plan on open sourcing this. waiting on some technicalities.
Here's an example of one of PG's essays run through the algorithm: [http://paulgraham.com/startupideas.html]
The most important thing to understand about paths out of the initial idea is the meta-fact that these are hard to see. Empirically, the way to have good startup ideas is to become the sort of person who has them. If you know a lot about programming and you start learning about some other field, you'll probably see problems that software could solve. Some of the most valuable new ideas take root first among people in their teens and early twenties. So if you're a young founder (under 23 say), are there things you and your friends would like to do that current technology won't let you. But there may still be money to be made from something like journalism. Similarly, since the most successful startups generally ride some wave bigger than themselves, it could be a good trick to look for waves and ask how one could benefit from them.
If you ran examples of PG's essays through this, people would see the immediate benefit.