Search (100 results, page 2 of 5)

  • × theme_ss:"Automatisches Klassifizieren"
  • × type_ss:"a"
  1. Yang, P.; Gao, W.; Tan, Q.; Wong, K.-F.: ¬A link-bridged topic model for cross-domain document classification (2013) 0.01
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    Date
    5. 9.2014 10:18:18
    25. 1.2016 18:42:35
  2. Mostafa, J.; Quiroga, L.M.; Palakal, M.: Filtering medical documents using automated and human classification methods (1998) 0.01
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    Date
    17. 2.1997 18:25:04
    5.12.1998 18:49:04
  3. Liu, R.-L.: Dynamic category profiling for text filtering and classification (2007) 0.01
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    Date
    17. 2.1997 18:25:04
    25.12.2007 18:06:32
  4. Yoon, Y.; Lee, G.G.: Efficient implementation of associative classifiers for document classification (2007) 0.01
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    Date
    17. 2.1997 18:25:04
    25.12.2007 18:47:11
  5. Leroy, G.; Miller, T.; Rosemblat, G.; Browne, A.: ¬A balanced approach to health information evaluation : a vocabulary-based naïve Bayes classifier and readability formulas (2008) 0.01
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    Date
    17. 2.1997 18:25:04
    12. 7.2008 18:19:14
  6. Choi, B.; Peng, X.: Dynamic and hierarchical classification of Web pages (2004) 0.01
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    Date
    18. 5.2003 19:02:00
    30.12.2008 18:21:31
  7. Gauch, S.; Chandramouli, A.; Ranganathan, S.: Training a hierarchical classifier using inter document relationships (2009) 0.01
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    Date
    17. 2.1997 18:25:04
    23. 2.2009 18:34:38
  8. Aphinyanaphongs, Y.; Fu, L.D.; Li, Z.; Peskin, E.R.; Efstathiadis, E.; Aliferis, C.F.; Statnikov, A.: ¬A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization (2014) 0.01
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    Date
    17. 2.1997 18:25:04
    26. 9.2014 18:28:57
  9. Chung, Y.M.; Lee, J.Y.: ¬A corpus-based approach to comparative evaluation of statistical term association measures (2001) 0.00
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    Date
    17. 2.1997 18:25:04
    29. 9.2001 14:01:18
  10. Ibekwe-SanJuan, F.; SanJuan, E.: From term variants to research topics (2002) 0.00
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    Date
    6. 1.1997 18:30:28
    23.12.2006 18:36:24
  11. Calado, P.; Cristo, M.; Gonçalves, M.A.; Moura, E.S. de; Ribeiro-Neto, B.; Ziviani, N.: Link-based similarity measures for the classification of Web documents (2006) 0.00
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    Date
    17. 2.1997 18:25:04
    11. 2.2006 18:19:19
  12. Giorgetti, D.; Sebastiani, F.: Automating survey coding by multiclass text categorization techniques (2003) 0.00
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    Abstract
    In this issue Giorgetti, and Sebastiani suggest that answers to open ended questions in survey instruments can be coded automatically by creating classifiers which learn from training sets of manually coded answers. The manual effort required is only that of classifying a representative set of documents, not creating a dictionary of words that trigger an assignment. They use a naive Bayesian probabilistic learner from Mc Callum's RAINBOW package and the multi-class support vector machine learner from Hsu and Lin's BSVM package, both examples of text categorization techniques. Data from the 1996 General Social Survey by the U.S. National Opinion Research Center provided a set of answers to three questions (previously tested by Viechnicki using a dictionary approach), their associated manually assigned category codes, and a complete set of predefined category codes. The learners were run on three random disjoint subsets of the answer sets to create the classifiers and a remaining set was used as a test set. The dictionary approach is out preformed by 18% for RAINBOW and by 17% for BSVM, while the standard deviation of the results is reduced by 28% and 34% respectively over the dictionary approach.
    Date
    17. 2.1997 18:25:04
  13. Pong, J.Y.-H.; Kwok, R.C.-W.; Lau, R.Y.-K.; Hao, J.-X.; Wong, P.C.-C.: ¬A comparative study of two automatic document classification methods in a library setting (2008) 0.00
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    Date
    18. 5.2003 19:09:36
    28.12.2008 18:04:55
  14. Mengle, S.S.R.; Goharian, N.: Ambiguity measure feature-selection algorithm (2009) 0.00
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    Date
    17. 2.1997 18:25:04
    18. 4.2009 20:56:10
  15. Vilares, D.; Alonso, M.A.; Gómez-Rodríguez, C.: On the usefulness of lexical and syntactic processing in polarity classification of Twitter messages (2015) 0.00
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    Date
    17. 2.1997 18:25:04
    4. 8.2015 19:18:47
  16. Borodin, Y.; Polishchuk, V.; Mahmud, J.; Ramakrishnan, I.V.; Stent, A.: Live and learn from mistakes : a lightweight system for document classification (2013) 0.00
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    Date
    5. 9.2014 10:18:18
  17. Wang, H.; Hong, M.: Supervised Hebb rule based feature selection for text classification (2019) 0.00
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    Date
    5. 9.2014 10:18:18
  18. Yilmaz, T.; Ozcan, R.; Altingovde, I.S.; Ulusoy, Ö.: Improving educational web search for question-like queries through subject classification (2019) 0.00
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    Date
    5. 9.2014 10:18:18
  19. Ru, C.; Tang, J.; Li, S.; Xie, S.; Wang, T.: Using semantic similarity to reduce wrong labels in distant supervision for relation extraction (2018) 0.00
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    Date
    5. 9.2014 10:18:18
  20. Savic, D.: Automatic classification of office documents : review of available methods and techniques (1995) 0.00
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    Source
    Records management quarterly. 29(1995) no.4, S.3-18

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