Glossary of Data Science and Data Analytics

What is Natural Language Processing (NLP)?

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Natural language processing (NLP), a branch of artificial intelligence, addresses the understanding of human language (both in written and spoken form) by computers. As a scientific discipline, NLP covers tasks such as determining sentence structures and boundaries in documents, detecting keywords or phrases in audio recordings, inferring relationships between documents, and uncovering meaning in informal or slang speech patterns. NLP can make it possible to analyze oral data and recognize patterns that are not currently structured.

NLP holds the key to enabling major advances in text analysis and gaining deeper and potentially more powerful insights from social media data streams where slang or non-traditional language is prevalent.

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Discover Glossary of Data Science and Data Analytics

What is Feature Engineering?

Feature Engineering is one of the most labor-intensive and creative phases of the machine learning process. This process involves the transformation of raw data into more meaningful and processable properties. The basic principles of Feature Engineering include using domain knowledge, data discovery, understanding the nature of data, and problem-oriented thinking.

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What is Ernie Bot?

Ernie Bot is an artificial intelligence-powered chatbot introduced by Baidu to the Chinese market. Ernie Bot aims to provide fast and accurate answers to users' questions using Baidu's advanced infrastructure in artificial intelligence and natural language processing (NLP).

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What is Dense Data?

Data intensive refers to data structures in which most cells or fields in the data matrix or data set are filled, with minimal empty or zero values.

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