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.
Autoregressive models are a powerful method used especially in artificial intelligence and time series analysis. These models are developed to predict future values using historical data.
Neurological enhancement is the general name for advanced technologies used to improve the cognitive, emotional, and motor functions of the human brain. These technologies include systems that can read, analyze brain activity and, in some cases, provide feedback to the brain.
Dirty data refers to data that is wrong for a company. This inaccuracy not only means that the data is not correct, the correct data can also be “dirty”.
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