Mining text data (2012)
0.04
0.036192376 = product of:
0.054288562 = sum of:
0.04289624 = weight(_text_:index in 362) [ClassicSimilarity], result of:
0.04289624 = score(doc=362,freq=2.0), product of:
0.2221244 = queryWeight, product of:
4.369764 = idf(docFreq=1520, maxDocs=44218)
0.05083213 = queryNorm
0.1931181 = fieldWeight in 362, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
4.369764 = idf(docFreq=1520, maxDocs=44218)
0.03125 = fieldNorm(doc=362)
0.0113923205 = product of:
0.022784641 = sum of:
0.022784641 = weight(_text_:classification in 362) [ClassicSimilarity], result of:
0.022784641 = score(doc=362,freq=2.0), product of:
0.16188543 = queryWeight, product of:
3.1847067 = idf(docFreq=4974, maxDocs=44218)
0.05083213 = queryNorm
0.14074548 = fieldWeight in 362, product of:
1.4142135 = tf(freq=2.0), with freq of:
2.0 = termFreq=2.0
3.1847067 = idf(docFreq=4974, maxDocs=44218)
0.03125 = fieldNorm(doc=362)
0.5 = coord(1/2)
0.6666667 = coord(2/3)
- Content
- Inhalt: An Introduction to Text Mining.- Information Extraction from Text.- A Survey of Text Summarization Techniques.- A Survey of Text Clustering Algorithms.- Dimensionality Reduction and Topic Modeling.- A Survey of Text Classification Algorithms.- Transfer Learning for Text Mining.- Probabilistic Models for Text Mining.- Mining Text Streams.- Translingual Mining from Text Data.- Text Mining in Multimedia.- Text Analytics in Social Media.- A Survey of Opinion Mining and Sentiment Analysis.- Biomedical Text Mining: A Survey of Recent Progress.- Index.