An HLTCon guest blog Courtesy of Evelyn Kent of Bacon Tree Consulting. This article originally appeared on KMWorld. Natural language processing is a core ability of cognitive computing systems and is often defined as helping computers process and understand human language. NLP research has been ongoing since the 1930s, and though we have made significant gains in […]
Star Wars Day tweets with feeling May the Fourth Be with You Some variation of the famous line, “I’ve got a bad feeling about this,” is used six different times by five different characters in the Star Wars Series. The words “bad feeling about this” are mentioned in A New Hope, The Empire Strikes […]
Listening to what customers are saying to your sales reps in social media and in product reviews is not just being customer-friendly, it’s good business: 78% of consumers have bailed on a transaction or not made an intended purchase because of a poor service experience. —American Express Survey, 2011 It takes 12 positive experiences to […]
How wrong was the “Beyhive” when they mistook Rachael Ray for Rachel Roy? The drama True to form, Beyoncé once again “broke the internet” Saturday night with the surprise drop of her sixth solo album and accompanying visual album of the same name, Lemonade. Typically a very private celebrity, Beyoncé shocked fans with the album’s […]
Basis Technology and Kyper Data Technologies engineers collaborate on code. Image by Alyssa Watson of Kyper. It’s 9am, the coffee is freshly brewed, and fingers are hovering over keyboards, poised to start. As with most hackathons, there’s a palpable buzz in the room, muted discussions of engineers eager to put their skills and expertise to […]
If a politician is to gain favor, it’s good to remember that “all politics is local.” That’s also true in the business of crowdsourcing reviews of local businesses. Yelp clearly knows what it’s doing with numerous review sites in cities worldwide that have logged millions of reviews—more than 83 million reviews by the end of […]
Normalization is crucial to high quality search results — who wants irrelevant variations between queries and documents leading to missed hits (e.g., “celebrity” v. “celebrities”)? Normalizing dictionary words works, but what if your application focuses on names? Whether you’re tackling log analysis, e-commerce, watch list screening or other applications, names are often the key. Can […]
This latest version of Highlight has significant enhancements for government linguists and translators that use this Microsoft Office plug-in to translate and standardize names between English and non-Latin languages—Arabic, Dari, Farsi, Korean, Mandarin Chinese, Pashto, and Russian.
Elasticsearch developers who want to fuzzy search names across multiple fields and cover the spectrum of name variations (sometimes two or more in a single name), know how much of a bear it can be. Until now, the solution has not been completely satisfactory, comprehensive, nor clean, but that’s all about to change.