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.
A data warehouse (often abbreviated as DW or DWH) is a centralized “data warehouse” capable of integrating a variety of sources. It provides a separate environment from operational systems.
Data virtualization is the reproduction of real data in a virtual environment. In this way, tests, experiments and analyses performed when working with real data can be carried out without compromising the accuracy and security of the real data.
Integration is a process that allows different systems, applications or processes to work together in a common structure. With the development of technology, the need for integration processes has increased so that organizations can work more efficiently, harmoniously and quickly.
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