One of the reasons doubters gave for assuming Uber wouldn’t work, was that ride-sharing essentially performs the same service as taxis.
Every system needs to move with the times. Apple needed to make its MacBook thinner, lighter and faster all at the same time. Marvel had to pack more superheroes in their movies. I even hear that Wi-Fi is available on aeroplanes. Well, here at DiUS, our illustrious and sometimes infamous table tennis scoring application needed a refresh.
With Google just about to launch a point of presence in Sydney for its Google Cloud Platform (GCP), we thought it timely to explore how to use Google’s Cloud Natural Language API as a part of the Google Cloud Platform Machine Learning suite. There are many articles out there which outline many different ways to do text analysis, but what Google offers is a kind of black box where you simply call an API and get a predicted value. What this means for the average developer is that we no longer need to be statisticians, and we don’t have to accumulate the vast amount of data required for this kind of analysis. Sure, we forego the ability to fine tune the algorithm, but there’s definitely a market to get productive right away and build important applications, instead of building everything from the ground up.