Natural language processing has its roots in the 1950s. Already in 1950, Alan Turing published an article titled “Computing Machinery and Intelligence” which proposed what is now called the Turing test as a criterion of intelligence/, a task that involves the automated interpretation and generation of natural language (e.g. “We are searching in the database”), but at the time not articulated as a problem separate from artificial intelligence.
At Fast Data Science we take pride in our natural language processing specialism (NLP). We offer specialist consulting in many areas of data science and our main area of focus is NLP. The manager, Thomas Wood, studied a Masters in 2008 at Cambridge University in Computer Speech, Text and Internet Technology and since then he has been working exclusively in machine learning and mostly in NLP. In 2018 he founded Fast Data Science in order to deliver data science consulting, specialising in NLP. We have built NLP pipelines from scratch, and worked on natural language dialogue systems, document classifiers and text-based recommender systems. For these tasks, we have used both traditional machine learning techniques as well as the state of the art such as neural networks. We normally use Python for our specialist NLP work.
As a company of Natural Language Specialists our skills include:
Fast Data Science - London
Today many companies, in particular in certain industries such as healthcare, pharmaceuticals, legal, and insurance, have large amounts of unstructured data. This is typically data in text format, which may even be unscanned documents, PDFs, HTML, or any other file type. For this kind of problem it’s recommended to bring in an NLP specialist.
Unstructured data is very difficult to deal with but can contain a goldmine of information. Fast Data Science specialises in extracting value from organisations’ unstructured datasets.
AI and natural language processing are being increasingly adopted across the healthcare sector.
This technology is sometimes called healthtech or MedTech. Our speciality area, NLP, is being used to compare and detect changes in clinical reports, extract clinical concepts such as MeSH terms from electronic medical records, and develop human-to-machine natural language dialogue systems to improve the healthcare experience.
We have worked on a number of projects in healthcare, including:
As NLP specialists, we do a lot of natural language processing with Python. We have worked on a variety of NLP models, including:
NLP specialists will use techniques such as topic detection and unsupervised learning to identify patterns, groups and clusters in unstructured document sets
We work with the following programming languages and frameworks:
NLP projects we have worked on for major household names include