Natural language processing (NLP) is the science of getting computers to talk, or interact with humans in human language. Examples of natural language processing include speech recognition, spell check, autocomplete, chatbots, and search engines.
What is sentiment analysis and what are the key trends in sentiment analysis today? Understand and try out some of the simplest and most cutting-edge sentiment analysis technologies!
Named entity recognition (NER) is the task of recognising proper names and words from a special class in a document, such as product names, locations, people, or diseases. This can be compared to the related task of named entity linking, where the products are linked to a unique ID.
Does protecting sensitive data mean that you also need to compromise the performance of your machine learning model? If you study machine learning in university, or take an online course, you will normally work with a set of publicly available datasets such as the Titanic Dataset, Fisher’s Iris Flower Dataset, or the Labelled Faces in the Wild Dataset. For example, you may train a face recognition model on a set of celebrity faces that are already in the public domain, rather than private or sensitive data such as CCTV images. These public datasets have often been around a very long time and serve as useful benchmarks that everyone agrees on.
How NLP document similarity algorithms can be used to find similar documents and build document recommendation systems. Let us imagine that you are reading a document, and would like to find which other documents in a database are most similar to it. This is called the document similarity problem, or the semantic similarity problem.
People often ask us, what kind of consulting do we do at Fast Data Science? If we say NLP, the next question is normally, ‘what is NLP?’, and we need to explain a bit further what NLP stands for and what it means.
Introduction What is Natural Language Processing and where is NLP heading over the next few years? By the UK-based NLP consulting company Fast Data Science.
With the rise of artificial intelligence, automation is becoming a part of everyday life. Natural Language Processing (NLP) has proven to be a key part of this breakthrough. Natural Language Processing bridges the gap between computers, AI, and computational linguistics. Learn more about NLP approaches this guide to statistical and symbolic NLP.
What is Natural Language Processing? Natural Language Processing (NLP) is the area of artificial intelligence dealing with human language and speech. It sits at the crossroads between a diverse number of disciplines, from linguistics to computer science and engineering, and of course, AI.
One rule for the establishment, another for everyone else… Owen Jones, The Guardian Dominic Cumming’s statement in the Rose Garden If you live in the UK it will have been hard to avoid the media coverage about Dominic Cummings’ trip to Durham just after the start of the Coronavirus lockdown.
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