Yi, K.: Challenges in automated classification using library classification schemes (2006)
0.08
0.076329954 = product of:
0.15265991 = sum of:
0.080829285 = weight(_text_:digital in 5810) [ClassicSimilarity], result of:
0.080829285 = score(doc=5810,freq=2.0), product of:
0.23183343 = queryWeight, product of:
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.05877307 = queryNorm
0.34865242 = fieldWeight in 5810, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.944552 = idf(docFreq=2326, maxDocs=44218)
0.0625 = fieldNorm(doc=5810)
0.07183062 = weight(_text_:library in 5810) [ClassicSimilarity], result of:
0.07183062 = score(doc=5810,freq=8.0), product of:
0.15453665 = queryWeight, product of:
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.05877307 = queryNorm
0.46481284 = fieldWeight in 5810, product of:
2.828427 = tf(freq=8.0), with freq of:
8.0 = termFreq=8.0
2.6293786 = idf(docFreq=8668, maxDocs=44218)
0.0625 = fieldNorm(doc=5810)
0.5 = coord(2/4)
- Abstract
- A major library classification scheme has long been standard classification framework for information sources in traditional library environment, and text classification (TC) becomes a popular and attractive tool of organizing digital information. This paper gives an overview of previous projects and studies on TC using major library classification schemes, and summarizes a discussion of TC research challenges.