Working with structured data

Now that we have explored some of the basics of NLP, let's dive into some more complex and common use cases that are often observed in the biotech and life sciences fields. When working with text-based data, it is much more common to work with larger datasets rather than single strings. More often than not, we generally want these datasets to involve scientific data regarding specific areas of interest relating to a particular research topic. Let's go ahead and learn how to retrieve scientific data using Python.

Searching for scientific articles

To programmatically retrieve scientific publication data using Python, we can make use of the pymed library from PubMed (https://pubmed.ncbi.nlm.nih.gov/). Let's go ahead and build a sample dataset:

1. First, let's import our libraries and instantiate a new PubMed object:

   from pymed import PubMed
   pubmed = PubMed()

2. Next, we will need to define and run our query. Let's go ahead...