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Displaying results 1 to 13 of 13.

  1. „Nuit, correspondance, sentiment”: Topic Modeling auf einem Korpus von französischen Romanen 1750-1800

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    Source: Union catalogues
    Language: German
    Media type: Article (journal)
    Format: Online
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    Parent title:
    Enthalten in: apropos [Perspektiven auf die Romania]; Hamburg : Hamburg University Press, [2018]-; 9, (2022), 57-86; Online-Ressource
    Other subjects: 18. Jahrhundert; Französische Literatur; Topic Modeling; Linked Open Data; Wikidata; 18th century; French literature; topic modeling; linked open data; wikidata
    Scope: Online-Ressource
  2. Language processing and knowledge in the web
    25th international conference, GSCL 2013, Darmstadt, Germany, September 25 - 27, 2013 ; proceedings
    Contributor: Gurevych, Iryna (Herausgeber); Biemann, Chris (Herausgeber); Zesch, Torsten (Herausgeber)
    Published: 2013
    Publisher:  Springer, Heidelberg

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    Contributor: Gurevych, Iryna (Herausgeber); Biemann, Chris (Herausgeber); Zesch, Torsten (Herausgeber)
    Language: English
    Media type: Book
    Format: Print
    ISBN: 9783642407215; 3642407218
    Other identifier:
    9783642407215
    Series: Lecture notes in computer science ; 8105 : Lecture notes in artificial intelligence
    Subjects: Sprachverarbeitung; Computerunterstützte Kommunikation; Mehrsprachigkeit; Natürliche Sprache; Korpus <Linguistik>; Wissensextraktion; Content <Internet>
    Other subjects: (Produktform)Paperback / softback; (Zielgruppe)Fachpublikum/ Wissenschaft; (Zielgruppe)Research; (BIC Subject Heading)UYQ; computer-mediated communication; decision trees; hamilton cycles; lexical semantics; topic modeling; (VLB-WN)1635: Hardcover, Softcover / Informatik, EDV/Anwendungs-Software
    Scope: XVI, 212 S., Ill., graph. Darst., 24 cm
    Notes:

    Literaturangaben. - Hergestellt on demand

  3. Schäferei, Computer, Internet
    digital humanities und frühneuzeitliche Pastoralliteratur
    Published: 2016
    Publisher:  V&R Unipress, Göttingen

    The aim of this book is to unite computer-aided lectures of literary texts with lectures that follow the philological-historical tradition: Both methods should be complementary. According to this aim, the analysis of the five-volume pastoral novel... more

    Universität Potsdam, Universitätsbibliothek
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    The aim of this book is to unite computer-aided lectures of literary texts with lectures that follow the philological-historical tradition: Both methods should be complementary. According to this aim, the analysis of the five-volume pastoral novel entitled L’Astrée (1607-1627) by Honoré d’Urfé will combine close and distant reading and employ the method of the so-called topic modeling. This book does not focus on quantitative results, but instead on researches in the field of literary interpretation. Angaben zur beteiligten Person Krüger: Prof. Dr. Reinhard Krüger ist Lehrstuhlinhaber für Romanische Literaturen I an der Universität Stuttgart. Angaben zur beteiligten Person Nickel: PD Dr. Beatrice Nickel ist Akademische Rätin am Institut für Romanische Literaturen I der Universität Stuttgart. Computergestützte Lektüren und philologisch-hermeneutische Textinterpretation miteinander zu vereinbaren oder sie füreinander nutzbar zu machen, ist Ziel dieses Bandes. In diesem Sinne kombinieren die hier vorgelegten Analysen zum frühneuzeitlichen Pastoralroman am Beispiel von Honoré d’Urfés fünfbändigem Werk L’Astrée (1607–1627) die Methoden des close und distant reading und wenden u. a. das Verfahren des sogenannten topic modeling an. Es geht den beiden Autoren dabei explizit nicht allein um quantitative Ergebnisse, sondern vor allem um inhaltsbezogene literaturwissenschaftliche Untersuchungen.

     

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    Source: Union catalogues
    Language: German
    Media type: Ebook
    Format: Online
    ISBN: 9783737006262
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    RVK Categories: EC 8050 ; EC 6278 ; IF 8966
    Series: Gründungsmythen Europas in Literatur, Musik und Kunst. ; Band 9
    Subjects: Pastoral literature, French; Literature and the Internet; Digital Humanities; Frühe Neuzeit; Roman; topic modeling; Literaturwissenschaft; Digitale Geisteswissenschaften
    Other subjects: Urfé, Honoré d' (1567-1625): L'Astree
    Scope: 1 Online-Ressource (370 Seiten), Ill., 155 x 232 mm
  4. Schäferei, Computer, Internet
    digital humanities und frühneuzeitliche Pastoralliteratur
    Published: 2016
    Publisher:  V&R Unipress, Göttingen

    The aim of this book is to unite computer-aided lectures of literary texts with lectures that follow the philological-historical tradition: Both methods should be complementary. According to this aim, the analysis of the five-volume pastoral novel... more

    Technische Universität Chemnitz, Universitätsbibliothek
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    Universitätsbibliothek Greifswald
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    Niedersächsische Staats- und Universitätsbibliothek Göttingen
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    Gottfried Wilhelm Leibniz Bibliothek - Niedersächsische Landesbibliothek
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    Bibliotheks-und Informationssystem der Carl von Ossietzky Universität Oldenburg (BIS)
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    Universität Potsdam, Universitätsbibliothek
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    Ev. Hochschul- und Zentralbibliothek Württemberg, Standort Stuttgart-Birkach
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    Ev. Hochschul- und Zentralbibliothek Württemberg, Standort Stuttgart-Möhringen
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    Württembergische Landesbibliothek
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    The aim of this book is to unite computer-aided lectures of literary texts with lectures that follow the philological-historical tradition: Both methods should be complementary. According to this aim, the analysis of the five-volume pastoral novel entitled L’Astrée (1607-1627) by Honoré d’Urfé will combine close and distant reading and employ the method of the so-called topic modeling. This book does not focus on quantitative results, but instead on researches in the field of literary interpretation. Angaben zur beteiligten Person Krüger: Prof. Dr. Reinhard Krüger ist Lehrstuhlinhaber für Romanische Literaturen I an der Universität Stuttgart. Angaben zur beteiligten Person Nickel: PD Dr. Beatrice Nickel ist Akademische Rätin am Institut für Romanische Literaturen I der Universität Stuttgart. Computergestützte Lektüren und philologisch-hermeneutische Textinterpretation miteinander zu vereinbaren oder sie füreinander nutzbar zu machen, ist Ziel dieses Bandes. In diesem Sinne kombinieren die hier vorgelegten Analysen zum frühneuzeitlichen Pastoralroman am Beispiel von Honoré d’Urfés fünfbändigem Werk L’Astrée (1607–1627) die Methoden des close und distant reading und wenden u. a. das Verfahren des sogenannten topic modeling an. Es geht den beiden Autoren dabei explizit nicht allein um quantitative Ergebnisse, sondern vor allem um inhaltsbezogene literaturwissenschaftliche Untersuchungen.

     

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    Source: Union catalogues
    Language: German
    Media type: Ebook
    Format: Online
    ISBN: 9783737006262
    Other identifier:
    RVK Categories: EC 8050 ; EC 6278 ; IF 8966
    Series: Gründungsmythen Europas in Literatur, Musik und Kunst. ; Band 9
    Subjects: Pastoral literature, French; Literature and the Internet; Digital Humanities; Frühe Neuzeit; Roman; topic modeling; Literaturwissenschaft; Digitale Geisteswissenschaften
    Other subjects: Urfé, Honoré d' (1567-1625): L'Astree
    Scope: 1 Online-Ressource (370 Seiten), Ill., 155 x 232 mm
  5. Parenting styles, socioeconomic status and (non-)cognitive skills
    Published: (Juli 2022)
    Publisher:  Institut für Angewandte Wirtschaftsforschung e.V., Tübingen, Germany

    This paper analyzes the role of parenting styles, a recent topic in the economic literature. Using a novel latent class model, we investigate which parenting styles can be observed in the data and how parenting styles are related to parents’... more

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    Universitätsbibliographie Tübingen
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    This paper analyzes the role of parenting styles, a recent topic in the economic literature. Using a novel latent class model, we investigate which parenting styles can be observed in the data and how parenting styles are related to parents’ socioeconomic status and household composition. We identify four parenting styles. An authoritarian and an authoritative style closely resemble the styles proposed by psychologists. The two other styles are variations of these styles. The parenting styles are strongly associated with household income, education and whether a child is an only child. The results suggest that constraints in both time and (non-)cognitive skills of the parents restrict their choice. We find that children’s skills, in particular non-cognitive skills, are strongly associated with the parenting style. Parenting styles that are associated with low household income and having more than one child are associated with lower skills of the child. Therefore, our results indicate that parenting styles might be an important factor in explaining the skill gap in early childhood between children from different socioeconomic origins.

     

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/283167
    Series: IAW discussion papers ; no. 138 (July 2022)
    Subjects: human capital; skills; parenting; child rearing; parenting style; social mobility; socio-economic status; topic modeling
    Scope: 1 Online-Ressource (circa 28 Seiten), Illustrationen
  6. Induced innovation and international environmental agreements
    evidence from the ozone regime
    Published: June 2021
    Publisher:  Grantham Research Institute on Climate Change and the Environment, London

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    Media type: Book
    Format: Online
    Series: Centre for Climate Change Economics and Policy working paper ; no. 391
    Grantham Research Institute on Climate Change and the Environment working paper ; no. 363
    Subjects: Induced innovation; environmental agreements; difference-in-differences; synthetic control; topic modeling
    Scope: 1 Online-Ressource (circa 35 Seiten), Illustrationen
  7. Thirty years of academic finance
    Published: [2022]
    Publisher:  GERAD, HÉC Montréal, Montréal (Québec), Canada

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Les cahiers du GERAD ; G-2022, 34 (August 2022)
    Subjects: Finance literature; Structural Topic Model (STM); topic modeling; textual analysis; scientometrics
    Scope: 1 Online-Ressource (circa 52 Seiten), Illustrationen
  8. A topic model for 10-K management disclosures
    Published: [2023]
    Publisher:  School of Economics and Political Science, Department of Economics, University of St.Gallen, St. Gallen

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    VS 466
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    Series: Discussion paper / University of St.Gallen, School of Economics and Political Science, Department of Economics ; no. 2023, 07 (August 2023)
    Subjects: 10-K files; MD&A; natural language processing; topic modeling
    Scope: 1 Online-Ressource (circa 54 Seiten), Illustrationen
  9. Nowcasting GDP using tone-adjusted time varying news topics
    evidence from the financial press
    Published: [2023]
    Publisher:  De Nederlandsche Bank NV, Amsterdam, The Netherlands

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    Language: English
    Media type: Book
    Format: Online
    Series: DNB working paper ; no. 766 (February 2023)
    Subjects: Factor models; topic modeling; nowcasting
    Scope: 1 Online-Ressource (circa 47 Seiten), Illustrationen
  10. Inference for regression with variables generated from unstructured data
    Published: May 2024
    Publisher:  CESifo, Munich, Germany

    The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as “data” in a downstream econometric... more

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    The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as “data” in a downstream econometric model. We establish theoretical arguments for why this two-step strategy leads to biased inference in empirically plausible settings. More constructively, we propose a one-step strategy for valid inference that uses the upstream and downstream models jointly. The one-step strategy (i) substantially reduces bias in simulations; (ii) has quantitatively important effects in a leading application using CEO time-use data; and (iii) can be readily adapted by applied researchers.

     

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    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/300047
    Series: CESifo working papers ; 11119 (2024)
    Subjects: unstructured data; information retrieval; topic modeling; Hamiltonian Monte Carlo; measurement error
    Scope: 1 Online-Ressource (circa 61 Seiten), Illustrationen
  11. Identification of innovation drivers based on technology-related news articles
    Published: [2024]
    Publisher:  Philipps-University Marburg, School of Business and Economics, Marburg

    Innovations contribute to economic growth. Hence, knowledge about drivers of innovation activities is a necessary input for economic policy making when it comes to implement targeted support measures. We focus on firms as potential drivers of... more

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    Innovations contribute to economic growth. Hence, knowledge about drivers of innovation activities is a necessary input for economic policy making when it comes to implement targeted support measures. We focus on firms as potential drivers of innovation and use a novel data-driven approach to identify them. The approach is based on news articles from a technology-related newspaper for the period 1996-2021. In a first step, natural language processing (NLP) tools are used to identify latent topics in the text corpus. Expert knowledge is used to tag innovation-related topics. In a second step, a named entity recognition (NER) method is used to detect firm names in the news articles. Combining the information about innovation-related topics and firms mentioned in news articles linked to these topics provides a set of firms linked to each innovation-related topic. The results suggest that the approach helps identifying drivers of innovation activities going beyond the usual suspects. However, given that the rate of false alarms is not negligible, at the end also human judgement is needed when using this approach.

     

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/283532
    Series: Joint discussion paper series in economics ; no. 2024, 01
    Subjects: nnovation drivers; topic modeling; entity recognition
    Scope: 1 Online-Ressource (circa 42 Seiten), Illustrationen
  12. Bedrohungen und Chancen frühzeitig erkennen
    Entwicklung eines Früherkennungskonzepts
    Published: 08.12.2023
    Publisher:  Institut für Mittelstandsforschung Bonn, Bonn

    Der Mittelstand ist derzeit mit vielfältigen Krisen konfrontiert. Eine frühe Erkennung relevanter Herausforderungen und Chancen ermöglicht es den mittelständischen Unternehmen und der Wirtschaftspolitik, sich darauf vorzubereiten und die geeigneten... more

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    Der Mittelstand ist derzeit mit vielfältigen Krisen konfrontiert. Eine frühe Erkennung relevanter Herausforderungen und Chancen ermöglicht es den mittelständischen Unternehmen und der Wirtschaftspolitik, sich darauf vorzubereiten und die geeigneten Rahmenbedingungen zu setzen. Gegenwärtig erfolgt die Früherkennung zumeist anhand von Konjunkturindikatoren, die i.d.R. anhand konkreter Zahlenwerte Rückschlüsse auf die zukünftige Wirtschaftsentwicklung ziehen. Eine systematische Auswertung wirtschaftsrelevanter Textdaten erfolgt nicht. Hier setzt das in der vorliegenden Studie entwickelte innovative Früherkennungskonzept an, das KI-gestützt Textdaten aus Medien und Wirtschaft effizient analysiert und Themen extrahiert. Mithilfe von Praxistests zeigen wir, dass das Konzept zuverlässig funktioniert und relevante Themen frühzeitig erkennen kann. Currently, SMEs are confronted with several crises. The early detection of relevant threats and opportunities enables SMEs and economic policymakers to be prepared and set the appropriate framework conditions. Early detection is often based on economic indicators that develop forecasts with the help of structured data (usually numbers). Moreover, information from text data is not analysed systematically in current economic indicators. Hence, the present study develops an innovative early detection concept that efficiently analyses text data from the media and economy. The AI-based concept can analyse large amounts of text data and extract relevant topics. With the help of multiple tests with real data, we show that the concept delivers reliable results and can recognise relevant topics at an early stage.

     

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    Source: Union catalogues
    Language: German
    Media type: Book
    Format: Online
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    hdl: 10419/280979
    Series: IfM-Materialien ; Nr. 303
    Subjects: Früherkennung; Themen; Topic Modeling; Maschinelles Lernen; early detection; topics; topic modeling; machine learning
    Scope: 1 Online-Ressource (circa 27 Seiten), Illustrationen
  13. The geography of innovation and technology news
    an empirical study of the German news media
    Published: [2021]
    Publisher:  Utrecht University, Human Geography and Planning, [Utrecht]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Papers in evolutionary economic geography ; # 21, 10
    Subjects: technology; news media; sentiment analysis; topic modeling
    Scope: 1 Online-Ressource (circa 41 Seiten), Illustrationen