In today’s digitized world, every action we perform generates data. A significant chunk of this information is in the form of text. Companies across industries grapple with colossal amounts of unstructured text data from diverse sources. Natural language processing (NLP) techniques make it possible to interpret, categorize, and gain value from this otherwise overwhelming information, giving companies a competitive edge in an increasingly data-driven landscape.
Cornell University offers professionals a chance to acquire essential NLP skills through their new online certificate program, Natural Language Processing with Python. Designed by Oleg Melnikov, a visiting lecturer at the Cornell Bowers College of Computing and Information Science, the program aims to equip individuals with the fundamentals needed to apply NLP in the workplace. Melnikov recently met with the eCornell team to shed light on the importance of NLP knowledge and the details of the certificate program.
NLP differs from machine learning in its focus on text-related problems. While machine learning primarily deals with developing modeling concepts, NLP revolves around solving language problems such as text classification, translation, and creating mathematical representations of text. Machine learning comes into play once text has been converted into numerical form, enabling the application of machine learning algorithms.
Businesses across various sectors are leveraging NLP for their operations. With the exponential growth of this domain, numerous projects are being undertaken, spanning industries as diverse as fast-food (e.g., McDonald’s) to aviation. These projects require summarization and categorization of vast amounts of text, allowing organizations to process massive text banks efficiently and effectively.
The Natural Language Processing with Python certificate program at Cornell University is designed for individuals who are new to NLP. The courses focus on the classical techniques that form the foundation of NLP, presenting an ideal opportunity for beginners to gain practical knowledge and skills in the field. However, for students already equipped with advanced NLP skills, there is a domain that delves into more modern, neural-network-based NLP, such as ChatGPT.
Having a working knowledge of NLP and textual analysis can significantly enhance efficiency across industries. The ability to interpret and analyze text data opens doors to invaluable insights and opportunities for organizations to thrive in a data-centered world. Enrolling in the Natural Language Processing with Python certificate program can expand theoretical and technical expertise, equipping professionals with the skills necessary to navigate and excel in the ever-evolving landscape of NLP.
In conclusion, Cornell University’s newly launched certificate program, Natural Language Processing with Python, offers professionals an opportunity to develop their NLP skills. With businesses increasingly relying on NLP techniques to extract insights from large volumes of text data, individuals who acquire NLP proficiency become valuable assets in today’s rapidly changing and data-driven world. Whether one is new to NLP or possesses advanced skills, the program provides a pathway to boosting practical expertise and staying ahead in the field.
