Natural Language Processing with Stanford CoreNLP - Cloud Academy Blog

Cloud services offered via web API endpoints are an exploding and apparently relentless trend. The big players are exposing a huge (and increasing) spectrum of state-of-the-art technology, making it possible for developers all over the world to integrate it into their apps. Clearly, the field of artificial intelligence and machine learning is no exception, claiming a huge share of the most high-tech functions exposed by vendors like Amazon, Google and Microsoft. Be it recognizing the content of images (see previous blog posts about the Google Vision API, Amazon Rekognition and a comparison of the two), the words spoken in a piece of recorded speech (Getting Started with Google Cloud Speech API) or crunching data using robust standard algorithm (Amazon Machine Learning: Use Cases and a Real Example in Python), it's nowadays very quick and easy to get started with some ready-to-go solution where all the underlying complexity is conveniently hidden by the cloud. In our recent post we described our encounter with the Google Cloud Natural Language API.