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  • 1
    Book
    Book
    Introduction to natural language processing (2019)
    Cambridge, MA : The MIT Press
    Details
    UID:
    b3kat_BV046196356
    Format: xiv, 519 Seiten , Illustrationen , 24 cm
    ISBN: 9780262042840 , 0262042843
    Series Statement: Adaptive computation and machine learning series
    Content: "The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees, and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing: information extraction, machine translation, and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms, and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations"--
    Language: English
    Subjects: Computer Science , Comparative Studies. Non-European Languages/Literatures
    RVK:
    ES 945
    RVK:
    ST 306
    Keywords: Sprachverarbeitung ; Informatik
    URL: Inhaltsverzeichnis
    URL: Klappentext
    URL: Inhaltsverzeichnis
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Book
    Book
    Sentiment analysis of German Twitter (2019)
    Potsdam
    Details
    UID:
    gbv_1687934789
    Format: vii, 217 Blätter , Illustrationen, Diagramme
    Content: The immense popularity of online communication services in the last decade has not only upended our lives (with news spreading like wildfire on the Web, presidents announcing their decisions on Twitter, and the outcome of political elections being determined on Facebook) but also dramatically increased the amount of data exchanged on these platforms. Therefore, if we wish to understand the needs of modern society better and want to protect it from new threats, we urgently need more robust, higher-quality natural language processing (NLP) applications that can recognize such necessities and menaces automatically, by analyzing uncensored texts. Unfortunately, most NLP programs today have been created for standard language, as we know it from newspapers, or, in the best case, adapted to the specifics of English social media. This thesis reduces the existing deficit by entering the new frontier of German online communication and addressing one of its most prolific forms—users’ conversations on Twitter. In particular, it explores the ...
    Note: Dissertation Universität Potsdam 2019
    Additional Edition: Erscheint auch als Online-Ausgabe Sidarenka, Uladzimir Sentiment analysis of German Twitter Potsdam, 2019
    Language: English
    Keywords: Hochschulschrift
    Author information: Stede, Manfred 1965-
    Library Location Call Number Volume/Issue/Year Availability
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    Book
    UB Potsdam get availability status
  • 3
    Online Resource
    Online Resource
    Sentiment analysis of German Twitter (2019)
    Potsdam
    Details
    UID:
    gbv_1687934045
    Format: 1 Online-Ressource (vii, 217 Blätter, 9805 KB) , Illustrationen, Diagramme
    Content: The immense popularity of online communication services in the last decade has not only upended our lives (with news spreading like wildfire on the Web, presidents announcing their decisions on Twitter, and the outcome of political elections being determined on Facebook) but also dramatically increased the amount of data exchanged on these platforms. Therefore, if we wish to understand the needs of modern society better and want to protect it from new threats, we urgently need more robust, higher-quality natural language processing (NLP) applications that can recognize such necessities and menaces automatically, by analyzing uncensored texts. Unfortunately, most NLP programs today have been created for standard language, as we know it from newspapers, or, in the best case, adapted to the specifics of English social media. This thesis reduces the existing deficit by entering the new frontier of German online communication and addressing one of its most prolific forms—users’ conversations on Twitter. In particular, it explores the ...
    Note: Dissertation Universität Potsdam 2019
    Additional Edition: Erscheint auch als Druck-Ausgabe Sidarenka, Uladzimir Sentiment analysis of German Twitter Potsdam, 2019
    Language: English
    Keywords: Hochschulschrift
    DOI: 10.25932/publishup-43742
    URN: urn:nbn:de:kobv:517-opus4-437422
    URL: kostenfrei
    URL: kostenfrei
    URL: https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-437422
    URL: https://d-nb.info/1218405279/34
    URL: kostenfrei
    Author information: Stede, Manfred 1965-
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    UB Potsdam
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