Categorizing text using Natural Language Classifier

Now that you've learned how to translate between different natural languages, let's take a look at an example of something that's even simpler: classifying sentences into categories.

For example, let's say that you're trying to analyze the sentiments of people on Twitter. But let's be a bit more specific: you're a data scientist working for an airline, and you want to see how people are reacting to your brand on social media. There are two difficulties here:

  • Social media is a complex ecosystem; each platform has its own share of people, often of different demographics, and therefore, a different culture around that platform. On Twitter, you'll see lots of hashtags, people tweeting about ...

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