Natural language processing (NLP) is an exciting field in data science and artificial intelligence that deals with teaching computers how to extract meaning from text. In this guide, we’ll be touring the essential stack of Python NLP libraries. These packages handle a wide range of tasks such as part-of-speech (POS) tagging, sentiment analysis, document classification, topic modeling, and much more. Source: [...]

Advances in Natural Language Processing (NLP): Though not quite as hyped as AI, NLP has advanced from basic applications such as speech recognition, speech synthesis and machine translation to a range of real-world applications such as creating spoken dialogue systems and speech-to-speech translation engines, mining social media for information about health or finance and identifying sentiment and emotion toward products [...]

We live in exciting times. A new wave of systems is emerging that apply machine learning, AI, Natural Language Processing (NLP) and more to provide more effective solutions.  Plus, there is a strong incentive for marketers to overhype technology that can’t be made black and white, and to deliberately coin terms or use them in different ways to get attention. [...]