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  1. 1. Evaluating Hierarchical LDA Topic Models for Article Categorization

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Jennifer Lindgren; [2020]
    Nyckelord :topic modeling; topic models; lda; latent dirichlet allocation; hlda; hierarchical latent dirichlet allocation; constrained lda; constrained latent dirichlet allocation; news articles; categorization; machine learning; natural language processing; nlp; news recommendations;

    Sammanfattning : With the vast amount of information available on the Internet today, helping users find relevant content has become a prioritized task in many software products that recommend news articles. One such product is Opera for Android, which has a news feed containing articles the user may be interested in. LÄS MER