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 ...

Natural-language-processing applications are ubiquitous: Alexa can set a reminder, or play a particular song, or provide your local weather if you ask; Google Translate can make documents readable ...

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 ...

The extensive growth and use of electronic health records (EHRs) and extending medical literature have led to huge opportunities to automate the extraction of relevant clinical information that helps ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture ...

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 ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Artificial intelligence (AI) is well-known for its ability to make data-driven decisions, but there is a lesser-known branch of AI called natural language processing (NLP) that is starting to turn ...

Evaluation of the Clinical Utility of the Bone Metastases Ensemble Trees for Survival Decision Support Platform (BMETS-DSP): A Case-Based Pilot Assessment Despite advances in molecular therapeutics, ...

Learn how modern search engines like Google use advanced NLP to understand searches, match queries to content, and rank results. SEO has come a long way from the days of keyword stuffing. Modern ...