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.
Big data is very large unstructured or structured data and is the most complex to analyze. For this you need advanced big data technology and big data tools that can work with large amounts of unstructured data. The amount of data collected is constantly increasing.
Augmented reality can be defined as a technology that enriches the real world environment with digital data. The basic principle of operation is the addition of digital content such as computer-generated audio, images, graphics, GPS data on top of the real world image that the user sees.
Data cleanup, or data rubbing, is the process of detecting and correcting or removing data or records that are incorrect from a database. It also includes correcting or removing unformatted or duplicate data or records.
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