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.
Marketing Analytics is a data-driven approach used to measure, analyze, and optimize the effectiveness of marketing campaigns.
Model collapse refers to the permanent decline in performance of productive AI models when trained with the contents produced by previous AI models. This phenomenon is reminiscent of a widely accepted principle in AI development: a model is only as good as the data on which it is trained.
MongoDB is a cross-platform, open-source database that uses a document-oriented data model rather than a relational database structure based on a traditional table.
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