Natural language processing (NLP) is no longer a term that makes people shake their heads and go “huh…?” – on the contrary, most businesses are aware of what it is and the powerful applications it offers through its variety of natural language APIs, text analysis APIs, and text processing APIs.
Can we detect what is fake news or plagiarised in 59 articles for Der Spiegel by Claas Relotius? We used natural language processing to uncover the clues that pointed to a rogue journalist’s history of submitting fake news
NLP use cases have grown significantly in recent years. From NLP use cases in finance to NLP in healthcare use cases, we explore the various uses for business.
How is text analysis AI looking in 2024, how it generally works, and how you can use it to take your customers, employees, and brand to the next level – all this and more in our in-depth article.
Natural Language Understanding (NLU): Overview If we think about it, language is one of the most powerful tools in our arsenal. We use it to express how we feel or what we’re thinking. We can use it to get our point across or persuade someone or even make them laugh or cry. But what if we could use language in a way that could make us understand what someone else was thinking?
Fast Stylometry Tutorial I’m introducing a Python library I’ve written, called faststylometry, which allows you to compare authors of texts by their writing style. The science of comparing authors’ fingerprints in this way is called forensic stylometry.
Image from: harmonydata.ac.uk “Thinking too much” I have been working on the development of Harmony, a tool to help psychology researchers harmonise questionnaire items in plain text across languages so that they can combine datasets from disparate sources. One of the challenges put to us by Wellcome, the funders of the mental health data prize research grant for Harmony, was how well does Harmony handle culture-specific concepts? There is an idea in psychology of “cultural concepts of distress”, which is the idea that some mental health disorders manifest themselves in a particular way in different cultures.
We designed the Clinical Trial Risk Tool, a clinical trial risk assessment tool using AI and NLP to quantify the risk of a trial ending uninformatively. Get in touch with us if you need custom AI strategy consulting for healthcare.
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.
Natural language processing or NLP is the area of artificial intelligence to do with analysing human language. Natural language processing is an emerging field with a huge number of business applications. Large companies which have their own data science team often do not have NLP specialists in-house and may need to bring NLP experts as consultants.
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