Natural language processing (NLP) is important because it enables machines to understand, interpret and generate human language, which is the primary means of communication between people. By using ...

AI is a rapidly evolving field that has the potential to impact almost all aspects of life and society. In this article, AI refers to all levels of artificial intelligence, including Narrow AI, ...

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In recent years, deep learning has transformed Natural Language Processing (NLP), search retrieval, and ranking by enabling more precise, context-aware, and efficient systems. Rama Krishna, an expert ...

Deep learning has yielded some fantastic results for basic natural language processing (NLP) functions such as named entity recognition (NER), document classification and sentiment analysis — not to ...

The Financial Conduct Authority (FCA) is using emerging technology like machine learning and natural language processing, as part of its broader strategy to utilize data more effectively, said Steven ...

As firms demand more data to find alpha, better manage risk, and more efficiently handle regulatory needs, they are having to turn to artificially-intelligent tools, namely, algorithms that ...

Just 10 years ago, most application development testing strategies focused on unit testing for validating business logic, manual test cases to certify user experiences, and separate load testing ...