I’m sure you will have seen news articles and social media posts about the recent generation of language models which are able to generate human-like text.
What are artificial neural networks and how do they learn? What do we use them for? What are some examples of artificial neural networks?
We designed the Clinical Trial Risk Tool, a risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively.
In 2009, Hal Varian, Google Chief Economist, was quoted as saying to the McKinsey Quarterly: “The sexiest job in the next 10 years will be statisticians.
‘Data Scientist’ was recently named by LinkedIn as “the most promising career” and according to a report by the US Bureau of Labour Statistics, there will be, on average, a 28% increase across the world in data science jobs by 2026.
A tour of the challenges you encounter when using natural language processing on multilingual data. Most of the projects that I take on involve unstructured text data in English only, but recently I have seen more and more projects involving text in different languages, often all mixed together.
We have been developing a tool using Natural Language Processing which is designed to help researchers in the social sciences to harmonise datasets from different contexts.
We excited to announce that we are working on a new project called Harmony for the Wellcome Trust Mental Health Data Prize - this uses natural language processing to combine data in the social sciences from different questionnaires, such as the GAD-7 and Beck’s Anxiety Inventory, even when the questionnaires are in different languages!
Whether you’re a small business owner or a C-suite executive within a more prominent firm, you’re interested in seeing your business grow.
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