DID YOU KNOW

NATURAL LANGUAGE PROCESSING FROM SAS HELPS YOU UNDERSTAND YOUR CUSTOMERS – IN MORE THAN 30 LANGUAGES

Natural language processing (NLP) is a branch of artificial intelligence that draws from many disciplines, including computer science and computational linguistics. Its focus is understanding, interpreting and emulating human language.

A combination of natural language processing, machine learning and human expertise is necessary to analyze unstructured text. The human aspect provides the guidance for accurate analysis, while machine learning enables that analysis to scale with ease.

The output of NLP, machine learning and human input varies from topic discovery to entity extraction to sentiment analysis. These processes can then be used to detect emerging trends, perform predictive analytics, provide operational insights or create conversational systems such as chatbots.

Are you making the most of your text data?

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Conversational AI + Chatbots

NLP also simplifies the interaction between humans and computers, a process commonly referred to as conversational AI. Conversational AI primarily focuses on the application of two subtopics of NLP: natural language understanding (machine reading comprehension) and natural language generation (transforming data into text).