Search (1 results, page 1 of 1)

  • × theme_ss:"Inhaltsanalyse"
  • × theme_ss:"Data Mining"
  1. Short, M.: Text mining and subject analysis for fiction; or, using machine learning and information extraction to assign subject headings to dime novels (2019) 0.00
    0.001349134 = product of:
      0.002698268 = sum of:
        0.002698268 = product of:
          0.005396536 = sum of:
            0.005396536 = weight(_text_:e in 5481) [ClassicSimilarity], result of:
              0.005396536 = score(doc=5481,freq=2.0), product of:
                0.048544887 = queryWeight, product of:
                  1.43737 = idf(docFreq=28552, maxDocs=44218)
                  0.03377341 = queryNorm
                0.1111659 = fieldWeight in 5481, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.43737 = idf(docFreq=28552, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=5481)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Language
    e