Egbert, J.; Biber, D.; Davies, M.: Developing a bottom-up, user-based method of web register classification (2015)
0.07
0.06613006 = product of:
0.09919508 = sum of:
0.03276531 = weight(_text_:of in 2158) [ClassicSimilarity], result of:
0.03276531 = score(doc=2158,freq=30.0), product of:
0.08160993 = queryWeight, product of:
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.05218836 = queryNorm
0.4014868 = fieldWeight in 2158, product of:
5.477226 = tf(freq=30.0), with freq of:
30.0 = termFreq=30.0
1.5637573 = idf(docFreq=25162, maxDocs=44218)
0.046875 = fieldNorm(doc=2158)
0.066429764 = sum of:
0.02400495 = weight(_text_:science in 2158) [ClassicSimilarity], result of:
0.02400495 = score(doc=2158,freq=2.0), product of:
0.13747036 = queryWeight, product of:
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.05218836 = queryNorm
0.17461908 = fieldWeight in 2158, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
2.6341193 = idf(docFreq=8627, maxDocs=44218)
0.046875 = fieldNorm(doc=2158)
0.042424813 = weight(_text_:22 in 2158) [ClassicSimilarity], result of:
0.042424813 = score(doc=2158,freq=2.0), product of:
0.18275474 = queryWeight, product of:
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.05218836 = queryNorm
0.23214069 = fieldWeight in 2158, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.5018296 = idf(docFreq=3622, maxDocs=44218)
0.046875 = fieldNorm(doc=2158)
0.6666667 = coord(2/3)
- Abstract
- This paper introduces a project to develop a reliable, cost-effective method for classifying Internet texts into register categories, and apply that approach to the analysis of a large corpus of web documents. To date, the project has proceeded in 2 key phases. First, we developed a bottom-up method for web register classification, asking end users of the web to utilize a decision-tree survey to code relevant situational characteristics of web documents, resulting in a bottom-up identification of register and subregister categories. We present details regarding the development and testing of this method through a series of 10 pilot studies. Then, in the second phase of our project we applied this procedure to a corpus of 53,000 web documents. An analysis of the results demonstrates the effectiveness of these methods for web register classification and provides a preliminary description of the types and distribution of registers on the web.
- Date
- 4. 8.2015 19:22:04
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1817-1831