NLTK

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 18 articles )

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  1. Alsinet, Teresa; Argelich, Josep; Béjar, Ramón; Fernández, Cèsar; Mateu, Carles; Planes, Jordi: Weighted argumentation for analysis of discussions in twitter (2017)
  2. Dhillon, Paramveer S.; Foster, Dean P.; Ungar, Lyle H.: Eigenwords: spectral word embeddings (2015)
  3. Li, Chun-Liang; Su, Yu-Chuan; Lin, Ting-Wei; Tsai, Cheng-Hao; Chang, Wei-Cheng; Huang, Kuan-Hao; Kuo, Tzu-Ming; Lin, Shan-Wei; Lin, Young-San; Lu, Yu-Chen; Yang, Chun-Pai; Chang, Cheng-Xia; Chin, Wei-Sheng; Juan, Yu-Chin; Tung, Hsiao-Yu; Wang, Jui-Pin; Wei, Cheng-Kuang; Wu, Felix; Yin, Tu-Chun; Yu, Tong; Zhuang, Yong; Lin, Shou-De; Lin, Hsuan-Tien; Lin, Chih-Jen: Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013 (2015) ioport
  4. Mashechkin, I.; Petrovskiy, M.; Popov, D.; Tsarev, D.: Applying text mining methods for data loss prevention (2015) ioport
  5. Wu, Chung-Hsien; Liu, Chao-Hong; Su, Po-Hsun: Sentence extraction with topic modeling for question-answer pair generation (2015) ioport
  6. Drury, Brett; Cardoso, Paula; Valverde-Rebaza, Jorge; Valejo, Alan; Pereira, Fabio; Andrade Lopes, Alneu: An open source tool for crowd-sourcing the manual annotation of texts (2014) ioport
  7. Hu, Yuening; Boyd-Graber, Jordan; Satinoff, Brianna; Smith, Alison: Interactive topic modeling (2014) ioport
  8. Silva, Ana Paula; Silva, Arlindo; Rodrigues, Irene: An approach to the POS tagging problem using genetic algorithms (2014) ioport
  9. Sasaki, Hiroaki; Gutmann, Michael U.; Shouno, Hayaru; Hyvärinen, Aapo: Correlated topographic analysis: estimating an ordering of correlated components (2013)
  10. Perin, Fabrizio; Renggli, Lukas; Ressia, Jorge: Linguistic style checking with program checking tools (2012) ioport
  11. 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
  12. Lai, Catherine; Bird, Steven: Querying linguistic trees (2010)
  13. Bird, Steven; Klein, Ewan; Loper, Edward: Natural language processing with Python. (2009)
  14. Devereux, Barry; Pilkington, Nicholas; Poibeau, Thierry; Korhonen, Anna: Towards unrestricted, large-scale acquisition of feature-based conceptual representations from corpus data (2009) ioport
  15. Feuer, Alan; Savev, Stefan; Aslam, Javed A.: Implementing and evaluating phrasal query suggestions for proximity search (2009) ioport
  16. Solka, Jeffrey L.: Text data mining: theory and methods (2008)
  17. Laporte, Éric: Lexicon management and standard formats (2005)
  18. Loper, Edward; Bird, Steven: NLTK: The natural language toolkit (2002) ioport