A 101 on Natural Language Processing in Business Centric Digital

Benchmarked by industry forerunners and expanding explosively by its own methodology, the best customer experiences in natural language processing (NLP) are found through continued and correct application: a surprisingly difficult task, given the subtleties of human expression. In the late '90s, the Internet first emerged as a vast, unknowable expanse. The first companies to address this digital mass – Google, Yahoo, eBay – built broad-based search engines to identify and isolate monetizable elements of this new medium, and to provide a clear map of what was worth seeing and experiencing on the web, based on each search engine's proprietary means of scoring content relevance. Upon analyzing the mass of unstructured data that makes up 80 percent of the user posts, email, messaging and other documented assets that comprise the Internet, businesses are challenged to understand what's relevant. Natural language processing, along with machine learning, have developed into fast-growing fields that businesses are using to make more efficient decisions.