This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. 20 years ago, if you had a database table containing your sales information ...

Mathematical language processing and problem solving represent a confluence of artificial intelligence, natural language processing and symbolic reasoning, aiming to bridge the gap between human ...

Natural language processing (NLP) is one of the most important frontiers in software. The basic idea—how to consume and generate human language effectively—has been an ongoing effort since the dawn of ...

Natural language processing (NLP) is a field of study that focuses on enabling computers to understand and interpret human language. NLP involves applying machine learning algorithms to analyze and ...

Natural language processing bridges the gap between real people’s search queries and what search engines have to offer. Comprehensive keyword research should be the backbone of your content ...

Teaching computers to make sense of human language has long been a goal of computer scientists. The natural language that people use when speaking to each other is complex and deeply dependent upon ...

Natalie Gross is a freelance journalist and podcast producer based in the Washington, D.C., area. She has a master’s degree in journalism from Georgetown University. It’s been a decade since IBM’s ...

We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

In the ever-evolving landscape of finance, Natural Language Processing (NLP) has emerged as a game-changer. This innovative technology, which enables computers to understand and interpret human ...

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