Intelligent Data And Content Streams Using Machine Learning APIs

We have been profiling a number of machine learning APIs lately, not because there is an opportunity to proxy and stream the APIs, but because of the possibilities around applying common machine learning models to the data and content streams our customers are producing. One of the interesting machine learning APIs we are profiling currently is called ParallelDots, which provide a suite of common, yet powerful machine learning models that anyone can integrate into their applications. As we profile the ParallelDots API, we are considering the possibilities for trickling, or streaming updates via the APIs our customer's are proxying using our service. Consider some of the opportunities for posting stream updates to any of the following APIs: - Sentiment - Sentiment API accepts input text, language code and API key to return a JSON response classifying the input text into a sentiment. API can extract this information from any type of text, web page or social media network.