Slide to adjust relevance metric:(2)
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PC1PC2Marginal topic distribution2%5%10%1234567891011121314151617181920Intertopic Distance Map (via multidimensional scaling)Overall term frequencyEstimated term frequency within the selected topic1. saliency(term w) = frequency(w) * [sum_t p(t | w) * log(p(t | w)/p(t))] for topics t; see Chuang et. al (2012)2. relevance(term w | topic t) = λ * p(w | t) + (1 - λ) * p(w | t)/p(w); see Sievert & Shirley (2014)manarrestedjailchargedwomanpoliceallegedlyjailedmenmurderguiltyofficeraccusedstompmaidteenwomensexstudentdeathdrugchargesadmitsoffencescourtseizedsentencedfinesexuallysuspected01,0002,0003,0005001,5002,500Top-30 Most Relevant Terms for Topic 1 (5.8% of tokens)