Natural language processing (NLP) is a branch of artificial intelligence that focuses on the understanding, interpretation, and emulation of human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and machine understanding.
Learn more at - http://www.sas.com/nlp
With NLP, a machine can quickly and continuously sift through growing volumes of text data. Known as text analytics, this process uncovers emerging trends, analyzes sentiment and identifies correlations between words.
NLP capabilities can also be designed to simplify the interaction between humans and computers. This is commonly referred to as conversational AI. Conversational AI primarily focuses on the applications of natural language understanding and natural language generation.
Analyzing unstructured text data works best with a combination of NLP, machine learning capabilities and human input. Human expertise provides guidance for accurate analysis, and machine learning enables analyses to scale with ease.
The output of this combination varies, from topic discovery to entity extraction to sentiment analysis. These processes can be used to detect emerging trends, perform predictive analytics, provide operational insights or create conversational systems like chat bots.
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Artificial Intelligence (AI) Solutions - https://www.sas.com/en_us/solutions/ai.html
SAS® Visual Text Analytics - https://www.sas.com/en_us/software/visual-text-analytics.html
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