Text analytics is changing for the better to become easier, quicker, and more applicable to enterprise use cases than it’s ever been before—largely due to advancements in natural language processing (NLP).
According to Marco Varone, CTO of expert.ai, “Language understanding is always the most important step for trying to advance a computer system that’s state of the art and to unlock, for companies, the huge amount of knowledge and actionable information that is available in any kind of linguistic communication, text, document, or message.”
