Price, L.; Thelwall, M.: ¬The clustering power of low frequency words in academic webs (2005)
0.14
0.14488001 = product of:
0.28976002 = sum of:
0.00823978 = product of:
0.03295912 = sum of:
0.03295912 = weight(_text_:based in 3561) [ClassicSimilarity], result of:
0.03295912 = score(doc=3561,freq=2.0), product of:
0.14144066 = queryWeight, product of:
3.0129938 = idf(docFreq=5906, maxDocs=44218)
0.04694356 = queryNorm
0.23302436 = fieldWeight in 3561, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.0129938 = idf(docFreq=5906, maxDocs=44218)
0.0546875 = fieldNorm(doc=3561)
0.25 = coord(1/4)
0.28152025 = weight(_text_:frequency in 3561) [ClassicSimilarity], result of:
0.28152025 = score(doc=3561,freq=10.0), product of:
0.27643865 = queryWeight, product of:
5.888745 = idf(docFreq=332, maxDocs=44218)
0.04694356 = queryNorm
1.0183823 = fieldWeight in 3561, product of:
3.1622777 = tf(freq=10.0), with freq of:
10.0 = termFreq=10.0
5.888745 = idf(docFreq=332, maxDocs=44218)
0.0546875 = fieldNorm(doc=3561)
0.5 = coord(2/4)
- Abstract
- The value of low frequency words for subject-based academic Web site clustering is assessed. A new technique is introduced to compare the relative clustering power of different vocabularies. The technique is designed for word frequency tests in large document clustering exercises. Results for the Australian and New Zealand academic Web spaces indicate that low frequency words are useful for clustering academic Web sites along subject lines; removing low frequency words results in sites becoming, an average, less dissimilar to sites from other subjects.
