Search (1 results, page 1 of 1)

  • × author_ss:"Driscoll, J.R."
  • × author_ss:"Shaffer, W.H."
  • × theme_ss:"Automatisches Indexieren"
  1. Driscoll, J.R.; Rajala, D.A.; Shaffer, W.H.: ¬The operation and performance of an artificially intelligent keywording system (1991) 0.00
    0.0020165213 = product of:
      0.018148692 = sum of:
        0.018148692 = weight(_text_:of in 6681) [ClassicSimilarity], result of:
          0.018148692 = score(doc=6681,freq=12.0), product of:
            0.061262865 = queryWeight, product of:
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.03917671 = queryNorm
            0.29624295 = fieldWeight in 6681, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              1.5637573 = idf(docFreq=25162, maxDocs=44218)
              0.0546875 = fieldNorm(doc=6681)
      0.11111111 = coord(1/9)
    
    Abstract
    Presents a new approach to text analysis for automating the key phrase indexing process, using artificial intelligence techniques. This mimics the behaviour of human experts by using a rule base consisting of insertion and deletion rules generated by subject-matter experts. The insertion rules are based on the idea that some phrases found in a text imply or trigger other phrases. The deletion rules apply to semantically ambiguous phrases where text presence alone does not determine appropriateness as a key phrase. The insertion and deletion rules are used to transform a list of found phrases to a list of key phrases for indexing a document. Statistical data are provided to demonstrate the performance of this expert rule based system