You've learned how to use Watson to simulate a small portion of the human ability of empathy within your applications. You are now able to extract the sentiment of standalone text, and even utterances in conversations! You can also determine personality traits just by analyzing the way someone writes. This means you can now make more informed decisions in all sorts of fields, including recruitment, healthcare, education, security, and more. With this, humans can understand the data that other humans generate at scale, which humans were otherwise incapable of handling, and at the same time, achieve this without letting human bias set us back.
Now that you've got an idea as to how Watson can be implemented to understand natural language, it’s time to get to the even more complex APIs: this time, using your own data to train Watson. In the next chapter, you're going to learn how to annotate your own documents to allow natural language analysis to find custom entities in documents that...