At Repustate, much of our data models we use in our Text analytics can be represented as simple key-value pairs, or dictionaries in Python lingo. In our particular case, our dictionaries are massive, a few hundred MB each, and they need to be accessed constantly. In fact for a given HTTP request, 4 or 5 models might be accessed, each doing 20-30 lookups.
This is a (long) blog post about our experience at Repustate in migrating a big chunk of code from Python/Cython to Go. If you want to read the whole story, background and all, read on. If you’re interested in just what Python developers need to know before taking the plunge, click the link below.
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.
New API calls, new pricing, and beautiful reporting in one click. tl;dr: Repustate has a new text analytics API (V2), new UI for our non-developer users, and more goodies coming. Existing customers have had their accounts converted to new “Starter” plans. Paying customers will be have their previous billing agreements honoured.
Making social media analytics easier than ever. A new beginning Repustate has relaunched with a new & improved user interface to help marketers, researchers and those who are just so darn curious about social media. This new interface augments our already popular API which has been helping our developer partners make heads & tails out of the stream of data they encounter.
A new up-and-coming social media site focuses on storytelling and sharing life lessons. Branding itself as a mix between Oprah and Wikipedia, Cowbird was created by San-Francisco based artist Jonathan Harris, 32. Harris told the Toronto Star that his team is trying to create a place that is “a repository for the world’s wisdom, knowledge and experience.
Sep 16, 2013
Repustate Team