Natural language processing or NLP is about helping computers understand and make sense of textual data. Examples of textual data include news articles, support tickets, emails, and research articles.

While in the academic world, NLP is all about helping computers understand human language, in the industry definition, NLP is used to reference any method for analyzing and making sense of any kind of textual data, not just language data.

Industry experts estimate that 80–90% of the data in any organization is unstructured and a vast majority is in the form of text data. Further, the amount of unstructured data in organizations is expected to grow significantly faster than structured databases. Without NLP, it would be a challenge to manage and extract value from all this unstructured text data.

So now the question is, what kinds of problems can you solve with NLP?

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