Sentiment analysis
We help our clients better understand the sentiment (subjective meaning) towards topics of particular importance, such as gender and social inclusion. Using machine-learning algorithms, we can analyse meaning within the text that ranges from internal documents and publications to websites and social media (tweets, blogs, forums, etc).
In this way, we can process vast quantities of text-based information, finding patterns and making sense of words and phrases in context. This can be a useful complement for subsequent human-based lines of enquiry.
Project
British International Investment’s mobilisation of private investment
Increasingly, international consensus is that private finance is critical to filling the development financing gap and...
Project
Evaluation of the Global Challenges Research Fund
GCRF (Global Challenges Research Fund) is a £1.5 billion fund to support cutting-edge, world-class research that addresses...
