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What is Trending on Wikipedia? Capturing Trends and Language Biases Across Wikipedia Editions
The authors propose an automatic evaluation and comparison of the browsing behavior of Wikipedia readers that can be applied to any language editions of Wikipedia. Focused on English, French, and Russian languages during the last four months of 2018.
They approach consists of the following steps:
– extraction of a sub-network of trending Wikipedia articles and identification of trends
– extraction of keywords from the summaries of every Wikipedia article in the sub-network and weighting according to their importance
– labeling of the trends with high-level topics using the extracted keywords
paper: https://arxiv.org/abs/2002.06885
github: https://github.com/epfl-lts2/sparkwiki
#nlp #trend #wikipedia
The authors propose an automatic evaluation and comparison of the browsing behavior of Wikipedia readers that can be applied to any language editions of Wikipedia. Focused on English, French, and Russian languages during the last four months of 2018.
They approach consists of the following steps:
– extraction of a sub-network of trending Wikipedia articles and identification of trends
– extraction of keywords from the summaries of every Wikipedia article in the sub-network and weighting according to their importance
– labeling of the trends with high-level topics using the extracted keywords
paper: https://arxiv.org/abs/2002.06885
github: https://github.com/epfl-lts2/sparkwiki
#nlp #trend #wikipedia