80% of today's data is unstructured, much in the form of text. This growing source of information, along with the rise of Artificial Intelligence and Machine Learning, has led to a growing adoption of Natural Language Processing to help uncover additional insights from textual data. 

Interest in natural language processing (NLP) has grown since Turing's publication "Computing Machinery and Intelligence" in 1950. In his seminal work, Turing laid out his criterion for intelligence - a computer could be considered intelligent if it can interact with humans without them ever realizing they were dealing with a machine. NLP at its core is the embodiment of that vision where consumers of NLP obtain useful insights from data without ever needing to know whether they are interacting with a machine.

Given the growing availability of textual data, along with an increased interest in NLP, we've compiled various research papers, with accompanying Python code, to provide you tangible use cases for NLP and textual data to help you get started today and generate new ideas for your business.