If you haven’t heard of the phrase “Natural Language Processing” by now, you soon will. Natural Language processing is an expanding and innovative use of technology to analyze large amounts of data or content and derive meaning from it, short-cutting a tremendous amount of manual effort needed to do that ourselves. It’s been around in some form for quite a while, but it was often relegated to complex enterprise systems or large corporations with a vested interest in automating the data mining of huge amounts of data to figure out what the patterns were, for example, in consumer purchasing trends or social media behavior. It’s a cool idea (it’s a form of artificial intelligence after all) and fuels a lot of our online experience now whether it’s product recommendations, content recommendations, targeted ads, or interactive listening services like Siri or Alexa. What’s even better is that this sort of thing is becoming more and more accessible to use in our own software solutions as many of these now provide services with APIs. This allows us to provide a more personalized or meaningful experience for site visitors on web projects that likely don’t have the budget or requirements to justify attacking natural language processing itself and can instead find accessible ways to benefit from the technology.
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Ashday’s Digital Ecosystem and Development Tips: Using the Google Natural Language API with Drupal maintenance support plans
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Ashday’s Digital Ecosystem and Development Tips: Using the Google Natural Language API with Drupal maintenance support plans
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