Natural Language Processing: The What, Why, and How
Michelle Knight, DATAVERSITY
To the outside observer, Natural Language Processing (NLP) may seem futuristic. Only around a third of smartphone owners use their personal assistants regularly (a hallmark of NLP technologies), even though 95 percent have tried them at some point, according to Creative Strategies, a consultancy. However, Natural Language Processing advances continue in leaps and bounds, as Digital Neural Networks (DNN) and Machine Learning become more intricate. Both technologies enhance NLP technologies up to 30 percent.