
seen from United Kingdom

seen from United States

seen from Canada

seen from United Kingdom
seen from Malaysia
seen from United States
seen from Mexico
seen from United Kingdom
seen from United Kingdom
seen from China
seen from United States
seen from T1

seen from United States

seen from United Kingdom

seen from Malaysia

seen from United States
seen from United States
seen from China

seen from United States

seen from United States
Analyzing text on the Internet to measure how positive it is — product reviews on Amazon.com, for example — has become easier and less expensive with tools from AlchemyAPI, Semantria, and other companies.
But finding the text actually worth mining can be a chore in itself.
To do this, Semantria has announced a formal partnership with a company called Diffbot that does the grunt work of finding important passages.
Diffbot uses what it calls “computer vision” technology to scour websites for meaningful information, shedding things like complex surrounding Web code. It then churns out clean text for analysis.
Once Diffbot supplies Semantria with the structured text, Semantria assesses its meaning and tone. Semantria’s goal is to “bring text and sentiment analysis into the hands of a nontechnical person in under 3 minutes and for less than $1,000,” according to founder and chief executive Oleg Rogynskyy.
Diffbot is a startup that’s trying to make sense of the mass of information available on the web via robotic vision and computer learning, and it’s doing so one chunk at a time. Previously, the company released a comprehensive API for identifying and deriving key info from article pages on the web, and now it’s launching a Product Page API to do the same for ecommerce and shopping sites.
The new API will allow Diffbot to crawl the web and parse information such as price, discounts, shipping, images, descriptions and SKUs, and then translate that into an immediately usable database format for devs to mine and repurpose however they wish. This is incredible useful for comparison shopping sites, for instance, but Diffbot CEO and founder Mike Tung says they’ve also had a lot of interest in the product from collecting, bookmarking and listing sites similar to Pinterest.
“Product discovery type services where the users themselves are submitting links to products [is a use case],” he said. “We did some data analysis last year and 8 percent of the links that people are sharing on Twitter are products, and there are a lot of sites where the entire concept of the site is just to share links to products with other users on the site. With the product API now it’s not just a link, with a picture; you know the price and all the product details.”
Twitter: A Day in the Life [INFOGRAPHIC]
Diffbot looks at the Web with a human set of eyes. We’ve built a robot that examines the Web using artificial intelligence, computer vision, machine learning and natural language processing, and provides software developers with tools to find, extract and understand objects from any Web page for use in their applications. Our goal is to make the Web as readable by machines as it currently is by humans.
i like where this is going, it may be time to look at the source