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Text Analysis: Text as Data with R
2022This seminar introduces “text as data” statistical methods using R. The course is very applied, with the primary aim of helping social science researchers understand the types of questions we can ask with text, and how to answer them. The seminar covers how texts may be modeled and compared as quantitative entities, and then moves to supervised and ...
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Analysis in ${\text{I}}\!{\text{R}}$
2021Ziel ist eine Einfuhrung in den Differential- und Integralkalkul reeller Funktionen in einer Veranderlichen. Dazu wiederholen wir zunachst den Begriff der Funktion, klaren alsdann den Grenzwertbegriff von Funktionen mittels reeller Zahlenfolgen, der Grundlage fur die sodann folgende Differential und Integralrechnung bildet.
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A TEXT-BASED ANALYSIS OF NON-NARRATIVE TEXTS [PDF]
Theoretical Linguistics, 1985 Most linguistic theories are concerned with the rendering explicit of what ordinary speakers find intuitively acceptable. Specifically, a linguistic theor~ is to provide rules for sentence well-formedness. A step forward is taken by recent researchers into text well-formedness.
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Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017 Latent Dirichlet Allocation (LDA) is an extremely popular probabilistic topic model used for a diverse class of appications. While highly effective, one important limitation of LDA is the high memory footprint of its inferencing algorithm, making it difficult to scale to a large dataset.
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2015
The understanding of natural language is one of the primary abilities that provide the basis for human intelligence. Since the invention of computers, people have thought about how to operationalize this ability in software applications (Jurafsky and Martin 2009).
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The understanding of natural language is one of the primary abilities that provide the basis for human intelligence. Since the invention of computers, people have thought about how to operationalize this ability in software applications (Jurafsky and Martin 2009).
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2014
This chapter discusses simple and advanced text processing and text analysis: the basic processing considers format-checking based on pattern identification; the advanced techniques consider named entity recognition, concept identification based on synonyms and hyponyms, and information retrieval concepts.
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This chapter discusses simple and advanced text processing and text analysis: the basic processing considers format-checking based on pattern identification; the advanced techniques consider named entity recognition, concept identification based on synonyms and hyponyms, and information retrieval concepts.
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SSRN Electronic Journal, 2015 This presentation to the Moore-Sloan Data Science Environments Summit at Suncadia, WA describes two hybrid text analysis pipelines and closes with a call to accelerate the uptake of text analysis techniques by social scientists. The first text analysis pipeline allows researchers to inductively identify sets of actions cohering in recognizable ...
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2008
During past decade, kernel methods have proved to be successful in different text analysis tasks. There are several reasons that make kernel based methods applicable to many real world problems especially in domains where data is not naturally represented in a vector form.
Evgeni Tsivtsivadze +3 more
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During past decade, kernel methods have proved to be successful in different text analysis tasks. There are several reasons that make kernel based methods applicable to many real world problems especially in domains where data is not naturally represented in a vector form.
Evgeni Tsivtsivadze +3 more
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2010
How can digital content be connected to text analysis tools? The TAPoR (Text Analysis Portal for Research) provided a workbench model, but usability studies suggest that a workbench was not how humanists thought of doing their research - humanists start with the text and apply tools as lenses for analyzing the text.
Ruecker, Stan +3 more
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How can digital content be connected to text analysis tools? The TAPoR (Text Analysis Portal for Research) provided a workbench model, but usability studies suggest that a workbench was not how humanists thought of doing their research - humanists start with the text and apply tools as lenses for analyzing the text.
Ruecker, Stan +3 more
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