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SurveyMonkey API + Repustate text analytics = insightful open ended responses We recently worked with a new entrant into the healthy snack foods business who wanted to understand the market they were getting into. Specifically, they wanted to know the following: Which foods do people currently eat as their “healthy snack” Which brands do consumers think of when they hear the word “snack” Was there anything about the current selection of snack foods that consumers didn’t like?
Everything you need to know about sentiment analysis accuracy When potential customers approach us, one of the first questions we’re asked is “How accurate is your sentiment analysis engine?". Well as any good MBA graduate would tell you, the correct answer is “It depends.” That might sound like a cop-out and a way to avoid answering the question, but in fact, it’s the most accurate response one can give.
Russian sentiment analysis is finally here - by popular demand We’re often asked to implement Text analytics in particular languages by customers, but no language has received as many requests as Russian. Some requests date back to 3 years ago! We’re happy to announce that Russian sentiment analysis is now open to all to use.
Named entity recognition is now available in Russian via the Repustate API. Combined with Russian sentiment analysis, customers can now do full text analytics in Russian with Repustate. Repustate is happy to launch Russian named entity recognition to solutions already available in English & Arabic. But like all languages Russian has its nuances that caused named entity recognition to be a bit tougher than say English.
After months of development and great feedback from our private beta testers, Repustate is happy (and relieved) to release to the public multilingual sentiment analysis. Using the existing API and/or client libraries, you can now analyze text in languages other than English. At first, the languages Repustate supports are: German French and Spanish Arabic is in private testing and will be released shortly.
(This is a guest post by Sarah Harmon. Sarah is currently a PhD student at UC Santa Cruz studying artificial intelligence and natural language processing. Her website is NeuroGirl.com) Using Repustate’s API to to get the most out of TripAdvisor customer reviews I’m a big traveler, so I often check online ratings, such as those on TripAdvisor, to decide which local hotel or restaurant is worth my time.
Crowdsourced data can often be inconsistent, messy or downright wrong We all like something for nothing, that’s why open source software is so popular. (It’s also why the Pirate Bay exists). But sometimes things that seem too good to be true are just that. Repustate is in the text analytics game which means we needs lots and lots of data to model certain characteristics of written text.
