HSE, AIRI and MISIS applied machine learning to analyzing social ties in Middle-earth

⚡ The gist in 5 seconds - Researchers from HSE University, AIRI and MISIS used machine learning to analyze social ties between Middle-earth characters. - The work is published on the Higher School of Economics website. - Details of the methodology and specific results are not disclosed in the news. ### 🔍 What was found Scientists from HSE University, AIRI and MISIS applied machine learning to study social ties between characters of Middle-earth, the universe created by J. R. R. Tolkien. This is reported on the official website of the Higher School of Economics. According to the description, the researchers used machine learning algorithms to analyze connections between characters. Which specific models and datasets were used is not specified in the news. Nor are any concrete results given — so far only the fact of the study itself is known. ### 💡 Why it matters This is an example of using machine learning in the humanities: instead of traditional technical tasks, the algorithms are applied to analyzing a literary universe. Such work is interesting both methodologically — researchers hone their approaches on well-known material — and for Tolkien fans, who may gain a new perspective on the structure of relationships between characters. Details and conclusions will likely appear later in the researchers' publications.