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.
It can be defined in the form of enterprise marketing technology that provides contextually relevant experiences, value and benefit at an appropriate moment in the customer's lifecycle through preferred customer touchpoints.
Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
Intelligent automation is a comprehensive approach that transforms business processes by integrating artificial intelligence and machine learning technologies with robotic process automation.
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