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. This makes for a fun challenge.
Do you need to compare questionnaire data across studies? Are the items inconsistent, or are there different versions of the same questionnaire floating around? Do you have questionnaires written in different languages that you would like to compare?
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. This is part of a wider project called Harmony which is part of an entry we are making to the Wellcome Mental Health Data Prize, together with the Centre for Longitudinal Studies at UCL, Ulster University and Universidade Federal de Santa Maria in Brazil.
We excited to announce that we are working on a new AI research 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. Since 2008, companies have taken a keen interest in “Big Data”. But as data becomes more relevant by the day, many managers still wonder what data consultants do.
Before we answer one of the most commonly searched questions on Google – “What is an NLP expert?” – we ought to understand what NLP is.
Can symbolic AI, or machine learning, or hybrid AI (a mixture of the two), be used for legal reasoning? I have been looking into the problem of legal reasoning with AI. Legal reasoning is the process of coming to a legal decision using factual information and information about the law, and it is one of the difficult problems within legal AI. While ML models and other practical applications of data science are the eaiser parts of AI strategy consulting, legal reasoning is a lot more tricky.
How AI and machine learning are transforming healthcare. The use of Artificial Intelligence (AI) in the healthcare field is already expanding monumentally, showing its application in many subsets and providing benefits to companies, physicians, and patients alike. Not only does AI use in the healthcare field allow for a transformation in patient care, but it also helps the provider, payer, and pharmaceutical companies increase organisation and productivity.
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