Search (4 results, page 1 of 1)

0.019534139 = product of:
  0.058602415 = sum of:
    0.022375738 = product of:
      0.044751476 = sum of:
        0.044751476 = weight(_text_:theory in 1603) [ClassicSimilarity], result of:
          0.044751476 = score(doc=1603,freq=2.0), product of:
            0.16234003 = queryWeight, product of:
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.03903913 = queryNorm
            0.27566507 = fieldWeight in 1603, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.046875 = fieldNorm(doc=1603)
      0.5 = coord(1/2)
    0.036226675 = product of:
      0.07245335 = sum of:
        0.07245335 = weight(_text_:methods in 1603) [ClassicSimilarity], result of:
          0.07245335 = score(doc=1603,freq=6.0), product of:
            0.15695344 = queryWeight, product of:
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.03903913 = queryNorm
            0.4616232 = fieldWeight in 1603, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.046875 = fieldNorm(doc=1603)
      0.5 = coord(1/2)
  0.33333334 = coord(2/6)

Abstract

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical Natural Language Processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.

LCSH

Statistical methods

Subject

Statistical methods

0.0031077415 = product of:
  0.018646449 = sum of:
    0.018646449 = product of:
      0.037292898 = sum of:
        0.037292898 = weight(_text_:theory in 978) [ClassicSimilarity], result of:
          0.037292898 = score(doc=978,freq=2.0), product of:
            0.16234003 = queryWeight, product of:
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.03903913 = queryNorm
            0.2297209 = fieldWeight in 978, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.0390625 = fieldNorm(doc=978)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

Series

Theory and applications of natural language processing

0.0024861933 = product of:
  0.014917159 = sum of:
    0.014917159 = product of:
      0.029834319 = sum of:
        0.029834319 = weight(_text_:theory in 4041) [ClassicSimilarity], result of:
          0.029834319 = score(doc=4041,freq=2.0), product of:
            0.16234003 = queryWeight, product of:
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.03903913 = queryNorm
            0.18377672 = fieldWeight in 4041, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.1583924 = idf(docFreq=1878, maxDocs=44218)
              0.03125 = fieldNorm(doc=4041)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

Abstract

Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers. - This book provides what Salton and Van Rijsbergen both failed to achieve. Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. Its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.

0.0023239423 = product of:
  0.013943653 = sum of:
    0.013943653 = product of:
      0.027887305 = sum of:
        0.027887305 = weight(_text_:methods in 362) [ClassicSimilarity], result of:
          0.027887305 = score(doc=362,freq=2.0), product of:
            0.15695344 = queryWeight, product of:
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.03903913 = queryNorm
            0.17767884 = fieldWeight in 362, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.0204134 = idf(docFreq=2156, maxDocs=44218)
              0.03125 = fieldNorm(doc=362)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)

Abstract

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.