In the current digital era, unstructured data is exploding—it makes up about 80% of the information generated daily. From emails and chat logs to online forums, unstructured data is everywhere. This data is rich in insights, but it doesn't fit neatly into rows and columns. Fortunately, that's where linguistic analysis shines.
Linguistic analysis in data science goes beyond traditional number-crunching. It's about understanding the nuances of language within data. Unlike conventional methods that focus on structured data, linguistic analysis delves into the complexities of human communication.
These help us understand not just what words say, but how they're used and what they imply. By lending insights from both linguistics and data science, we can effectively analyze unstructured data to retrieve meaningful information.
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