In this special guest feature, Paul Nelson, Chief Architect at Search Technologies, discusses his top 5 essential steps for tackling a Big Data project using Natural Language Processing (NLP) and also ...

Natural language processing libraries, including NLTK, spaCy, Stanford CoreNLP, Gensim and TensorFlow, provide pre-built tools for processing and analyzing human language. Natural language processing ...

Natural language processing (NLP) and natural language understanding (NLU) are two often-confused technologies that make search more intelligent and ensure people can search and find what they want.

Natural language processing opened the door for semantic search on Google. SEOs need to understand the switch to entity-based search because this is the future of Google search. In this article, we’ll ...

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 ...

NLP AI evolves, integrating into devices like smartphones; its applications also expand. Advanced NLP models such as GPT-3 can perform tasks nearly indistinguishable from humans. Investors should ...

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 ...

Ernie Smith is a former contributor to BizTech, an old-school blogger who specializes in side projects, and a tech history nut who researches vintage operating systems for fun. Combining computing ...