Natural Language Processing is as broad a topic as words themselves, and as such, there are far too many use cases to cover in one article. This article is the first part in a series discussing the value of Natural Language Processing. Read part two here.
The importance of language is visible throughout every conversation, electronic communication, or written word you encounter in your day. Text analysis has long offered the ability to translate text into meaningful insights in easily formatted reports, such as word clouds and key word frequency. However, this kind of text analysis has no fundamental knowledge of language; it addresses text as if letters and words are numerically interchangeable. Given our digital environment, understanding the context of words is vitally important for businesses to operate on a daily basis. Leveraging natural language processing into business operations can help your organization grow in the current digital landscape.
What is Natural Language Processing?
NLP is a process for computers to learn language and perform in depth analysis of text along with generating new text. This field of artificial intelligence (AI) gives computers the ability to read and understand language, providing the opportunity for large-scale analysis, real time automation, and a variety of industry specific applications.
NLP is a process for computers to learn language and perform in depth analysis of text along with generating new text.
Why is NLP a big deal?
NLP begins to understand language and extract meaning. While humans are still better than computers at language, computers are far better at sorting through large volumes of data with speed and consistency.


