gerold schneider (117 resultados)

Heft; Condición: Gut. 64 Seiten; Das hier angebotene Heft stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.). Einband berieben und leicht staubschmutzig, Seiten alters-/papierbedingt angebräunt; ansonsten ordentlicher Erhaltungszustand; Sprache: Deutsch Gewicht in Gramm: 80.

Condición: New.

Paperback. Condición: new. Paperback. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Broschur. Condición: gut. S. 669 bis 686, 322-347, 24 cm, Bibliotheksexemplar, Einband leicht fleckig. Sprache: deu.

Paperback. Condición: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condición: As New. Unread book in perfect condition.

Paperback or Softback. Condición: New. Text Analytics for Corpus Linguistics and Digital Humanities: Simple R Scripts and Tools. Book.

Hardcover. Condición: Très bon. Ancien livre de bibliothèque avec équipements. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations.

Paperback. Condición: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

Hardcover. Condición: Fine. Leichte Rillen / Abschürfungen / Risse / Knicke; Farbtonänderung; Hat Beilage / CD.

116 Seiten, kartoniert, bis auf wenige Bleistiftanstreichungen und minimalem Knick im Einband gut erhalten. Sprache: deu.

Hardcover. Condición: Fair. Verschmutzung / Wasserschaden; Abnutzung / Risse - leicht; Vergilbt / ausgeblichen; Hat Beilage / CD.

Condición: New. In.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. 2025. paperback. . . . . . Books ship from the US and Ireland.

Condición: Fine. Leichte Rillen / Abschürfungen / Risse / Knicke; Farbtonänderung.

Unbekannt. Condición: Wie neu. 1. Aufl. 21 S. : graph. Darst. , 59 gr. Versand am folgenden Arbeitstag mit Rechnung daily shipping wordwide with invoice Sprache: Deutsch Gewicht in Gramm: 550.

gebundene Ausgabe. Condición: Gut. XVII, 560 S. : graph. Darst. ; mit 48 Tabellen Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Sprache: Deutsch Gewicht in Gramm: 870.

Paperback. Condición: Brand New. 236 pages. 9.22x6.14x1.01 inches. In Stock.

Condición: New. 2025. paperback. . . . . .

Broschiert. Condición: Sehr gut. 1. Auflage. Oktav. Erste Auflage, 323 Seiten. Broschiert. mit Abbildungen. gut/sehr gut erhalten.

Paperback. Condición: new. Paperback. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condición: Gut. XVII, 560 S.: graph. Darst. u. Tab.; 24 cm Für Bibl.-Ex.sehr guter Zustand. Sprache: Deutsch Gewicht in Gramm: 1020.

Paperback. Condición: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.

143 Seiten, Mit 13 Figuren und 21 Tabellen im Text sowie mit Zusammenfassung. Das Inhaltsverzeichnis und die Zusammenfassung in deutscher, englischer und spanischer Sprache. Hinterer Einbanddeckel und letzte Seiten mit deutlicher Knickspur, sonst ordentliches und sauberes Exemplar Sprache: Deutsch Gewicht in Gramm: 380 Original-Broschur, 17x24cm, Zustand: 3.

3. Auflage. 339 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. 9783746212753 Sprache: Deutsch Gewicht in Gramm: 550.

paperback. Condición: Good. Gerold Schneider: Vergangenheit, die nicht vergehen will. Irrwege deutsch-polnischer Nachbarschaft. St. Benno-Verlag, Leipzig 2001. Broschur, 339 Seiten mit sw-Abbildungstafeln im Anhang, ordentlicher Zustand.

Paperback. Condición: New. Do you want to gain a deeper understanding of how big tech analyses and exploits our text data, or investigate how political parties differ by analysing textual styles, associations and trends in documents? Or create a map of a text collection and write a simple QA system yourself?This book explores how to apply state-of-the-art text analytics methods to detect and visualise phenomena in text data. Solidly based on methods from corpus linguistics, natural language processing, text analytics and digital humanities, this book shows readers how to conduct experiments with their own corpora and research questions, underpin their theories, quantify the differences and pinpoint characteristics. Case studies and experiments are detailed in every chapter using real-world and open access corpora from politics, World English, history, and literature. The results are interpreted and put into perspective, pitfalls are pointed out, and necessary pre-processing steps are demonstrated. This book also demonstrates how to use the programming language R, as well as simple alternatives and additions to R, to conduct experiments and employ visualisations by example, with extensible R-code, recipes, links to corpora, and a wide range of methods. The methods introducedcan be used across texts of all disciplines, from history or literature to party manifestos and patient reports.