Applications of Topic Models
How can a single person understand what's going on in a collection of millions of documents? This is an increasingly widespread problem: sifting through an organization's e-mails, understanding a…
Specifikacia Applications of Topic Models
How can a single person understand what's going on in a collection of millions of documents? This is an increasingly widespread problem: sifting through an organization's e-mails, understanding a decade worth of newspapers, or characterizing a scientific field's research. This monograph explores the ways that humans and computers make sense of document collections through tools called topic models. Topic models are a statistical framework that help users understand large document collections; not just to find individual documents but to understand the general themes present in the collection. Applications of Topic Models describes the recent academic and industrial applications of topic models. In addition to topic models' effective application to traditional problems like information retrieval, visualization, statistical inference, multilingual modeling, and linguistic understanding,
Applications of Topic Models
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