Most applications requiring human language processing are based on NLP. Modern search engines, smart translators and personal assistants are the main day-to-day examples of using this technology.
NLP provides the machine with capabilities to perceive and analyze human language for certain functions:
With NLP, corporations can gain a competitive advantage by being the first to know about audience sentiment and the upcoming global social media trends.
Subject modeling techniques can help to identify potential trends or hidden patterns in data such as email, feedback, social media or any other type of unstructured information.
Automatic text classification will help to significantly simplify the text management process by organizing words, phrases or whole documents into separate clusters.
NLP can transform boring and unremarkable text sets into meaningful graphics models, highlighting trends especially relevant to your business.