Word lists are the basis of so much research in so many fields. Researchers at the Complexity Science Hub have now developed an algorithm that can be applied to different languages and can expand word lists significantly better than others.
Word lists are the basis of so much research in so many fields. Researchers at the Complexity Science Hub have now developed an algorithm that can be applied to different languages and can expand word lists significantly better than others.
Many projects start with the creation of a word list, not only in companies when mind maps are created, but also in all areas of research. Imagine you want to find out on which days people are in a particularly good mood by analyzing Twitter postings. Just looking for the word „happy“ wouldn’t be enough.
Instead, you would have to use an algorithm that detects all tweets that indicate that someone is happy. „So the first step is to create a list of all the words that indicate just that. The whole research stands or falls on doing so,“ explains Anna Di Natale, a researcher at the Complexity Science Hub in Vienna. But how to come up with the most accurate, complete word lists possible?
This widespread problem not only concerns opinion researchers who want to find out how politicians‘ statements are received by the public.
