This book offers an introduction to Natural Language Processing (NLP). Natural language means a language that is used for everyday communication by humans. The reader will learn how to write Python programs that work with large collections of unstructured text. A comprehensive range of linguistic data structures is presented as well as algorithms for analyzing the content and structure of written communication. NLP is experiencing rapid growth, and technologies based on NLP are becoming increasingly widespread, for example phones support predictive text and even handwriting recognition. The book contains hundreds of working examples and graded exercises, based on the Python programming language and the Natural Language Toolkit (NLTK), and it gives the reader a working knowledge of NLP

References in zbMATH (referenced in 15 articles )

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  1. Dhillon, Paramveer S.; Foster, Dean P.; Ungar, Lyle H.: Eigenwords: spectral word embeddings (2015)
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  3. Wu, Chung-Hsien; Liu, Chao-Hong; Su, Po-Hsun: Sentence extraction with topic modeling for question-answer pair generation (2015) ioport
  4. Hu, Yuening; Boyd-Graber, Jordan; Satinoff, Brianna; Smith, Alison: Interactive topic modeling (2014) ioport
  5. Silva, Ana Paula; Silva, Arlindo; Rodrigues, Irene: An approach to the POS tagging problem using genetic algorithms (2014) ioport
  6. Sasaki, Hiroaki; Gutmann, Michael U.; Shouno, Hayaru; Hyvärinen, Aapo: Correlated topographic analysis: estimating an ordering of correlated components (2013)
  7. Perin, Fabrizio; Renggli, Lukas; Ressia, Jorge: Linguistic style checking with program checking tools (2012) ioport
  8. de A.R.Gonçalves, J.C.; Santoro, Flávia Maria; Baião, Fernanda Araujo: Let me tell you a story - on how to build process models (2011) ioport
  9. Lai, Catherine; Bird, Steven: Querying linguistic trees (2010)
  10. Bird, Steven; Klein, Ewan; Loper, Edward: Natural language processing with Python. (2009)
  11. Devereux, Barry; Pilkington, Nicholas; Poibeau, Thierry; Korhonen, Anna: Towards unrestricted, large-scale acquisition of feature-based conceptual representations from corpus data (2009) ioport
  12. Feuer, Alan; Savev, Stefan; Aslam, Javed A.: Implementing and evaluating phrasal query suggestions for proximity search (2009) ioport
  13. Solka, Jeffrey L.: Text data mining: theory and methods (2008)
  14. Laporte, Éric: Lexicon management and standard formats (2005)
  15. Loper, Edward; Bird, Steven: NLTK: The natural language toolkit (2002) ioport