Blabble

Say hello to Blabble. From an article from Internet Retailer:

“Rice notes that some search engines such as Google pull listings from blogs, but they treat the blog listing as they would any web page, requiring the searcher who specifically is seeking blog content to read through all the listings returned in a search to identify those from blogs. Existing software products aggregate listings from blogs, but require the user seeking a view of overall trends or opinions as represented in blogs to read through all the blog listings to make that determination manually.”

“Rice says Blabble goes a step farther by incorporating natural language processing that parses blog listings returned in a search into parts of speech so as to extract from them words, phrases and constructions that indicate opinion. “50,000 people may write about a topic, but you don’t have time to read 50,000 listings,” says Rice. “And I probably don’t care about one individual opinion; it’s the aggregate that I care about.”

Check out the sample searches and you can see how the software works. I have never been a fan of natural language when it comes to searching (Sorry AJ), but within the confines of aggregation (not RSS aggregation, but group aggregation), it could work. Take the most popular words used to describe something in a multi-million blog post database and match them up with search terms and you have Blabble. Or so it seems… (link via Topix)