Show HN: Condensr.com, Yelp Snippet Summarization(condensr.com)
condensr.com
Show HN: Condensr.com, Yelp Snippet Summarization
http://condensr.com
5 comments
Very cool, I like this a lot. I've seen a lot of aggregate tools with google maps like this that seem to have a better sense of how I actually search for things.
Minor criticisms and suggestions:
1. It'd be awesome if this could expand to all aspects of yelp and not just the restraurants. I tried searching for laundromat and got no results, but this search gives results on yelp.
2. It'd be nice to be able to filter by a few of the snippets. The main thing I'd like to be able to do is show only negative reviews. Often times I want to hear what people didn't like about a place more than what they did.
3. It's not really clear what expanding the snippets does. I think it's showing similar snippets, but I'm not 100% sure of that. One weird example:
+ The staff's not 100 % attentive
But as a whole, very cool.
Minor criticisms and suggestions:
1. It'd be awesome if this could expand to all aspects of yelp and not just the restraurants. I tried searching for laundromat and got no results, but this search gives results on yelp.
2. It'd be nice to be able to filter by a few of the snippets. The main thing I'd like to be able to do is show only negative reviews. Often times I want to hear what people didn't like about a place more than what they did.
3. It's not really clear what expanding the snippets does. I think it's showing similar snippets, but I'm not 100% sure of that. One weird example:
+ The staff's not 100 % attentive
-The dining room is cozy and intimate.
-The deco is colorful
But as a whole, very cool.
Link to the paper summary for the sentiment analysis used in this app: http://groups.csail.mit.edu/rbg/code/content_structure/index...
I really dig this.
If I wanted to learn to do something similar, where would I start? I looked at the research paper but I fear I might need some prerequisite steps.
If I wanted to learn to do something similar, where would I start? I looked at the research paper but I fear I might need some prerequisite steps.
These papers are good: http://larifari.org/writing/
One of the nice things about them is that they come at the problem from many different angles. Part of the reason summarization has not been particularly productized is because for a long time the standard approach has involved focusing on a narrow domain, training a model, etc. That gets the best results for the local problem, and focus is great for a startup, but that approach is prone to over-fitting, and it is not scalable, or extensible. Ultimately, it has held the whole category back. The solution is probably to take a bunch of concepts from related fields and combine them within the constraint of a scalable framework.
That's why I recommend these papers (beyond the fact that they are relatively approachable): you can almost sense that he's feeling different surfaces of the problem, trying to map texture, and find the right formula for a great general solution.
One of the nice things about them is that they come at the problem from many different angles. Part of the reason summarization has not been particularly productized is because for a long time the standard approach has involved focusing on a narrow domain, training a model, etc. That gets the best results for the local problem, and focus is great for a startup, but that approach is prone to over-fitting, and it is not scalable, or extensible. Ultimately, it has held the whole category back. The solution is probably to take a bunch of concepts from related fields and combine them within the constraint of a scalable framework.
That's why I recommend these papers (beyond the fact that they are relatively approachable): you can almost sense that he's feeling different surfaces of the problem, trying to map texture, and find the right formula for a great general solution.
Thanks for putting this as its own domain, folks. I wanted to go to it after Aria's EMNLP talk but couldn't remember the URL, it went by too fast.
If this kind of stuff interests you, send me your resume -- my HN user name at yelp.