by dopplesoldner on 4/7/14, 7:49 PM with 6 comments
A sentiment search engine. Suppose you type the name of a restaurant/camera/hotels/protein supplement etc. - you will get a condensed graphical view of with "sentiment scores" in different categories based on what real customers have been saying around the internet. E.g for an iphone, entities might be battery, display etc.
Data is scraped from individual reviews, shopping sites etc. Additionally you get information about the original source of information so you can carry further research if you want to.
So in short, it can be the default go to place for any kind of reviews.
by neuralk on 4/8/14, 2:30 AM
So how would you define sentiment? A single score on a range from "good" to "bad"? Multidimensional, like a range of emotions? A major problem I've found in sentiment analysis literature that some assumptions/models yield limited/poor results even if algorithms are good.
Have you started working on this? I'd be happy to discuss it or your ideas some more.
by ohashi on 4/8/14, 4:49 AM
It calculates an overall (based on all pos/neg things said) but breaks down into components relevant to web hosting: support, uptime, price. You can also figure out who competitors are and see trends.
If you can't tell, I like the idea. I also think it's an incredibly hard problem to solve. I've done it for a small niche. Scaling it to a general solution is something I haven't been able to figure out (yet).
by nateday on 4/7/14, 8:00 PM
Somewhat similar sentiment analysis, for terms rather than unique entities: http://www.whatdoestheinternetthink.net
by manmeet on 4/7/14, 7:51 PM