A large number of modern software is based on text data. Thanks to the use of high-tech machine algorithms, you can get an unexpected benefit from these data.
Natural Language Processing (NLP) is a field of artificial intelligence (AI) providing the machine with capabilities to perceive and analyze human language for certain functions. 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. In this way, computers can understand and consume languages just as humans do.
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.