HSE, AIRI and MISIS Apply Machine Learning to Analyze 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 characters of Middle-earth. - 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 in the universe of Middle-earth, 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 analyze a literary universe. Such work is interesting both methodologically — researchers test 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.