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“What Can I Cook with These Ingredients?” - Understanding Cooking-Related Information Needs in Conversational Search
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Optimierung der Suchergebnisse bei Swisslex : digitale Lösungsansätze der Angewandten Linguistik zur Modellierung von Semantik ...
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The Influence of Multilingualism and Mutual Intelligibility on Wikipedia Reading Behaviour: A Research Proposal ...
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Sentiment Independent Topic Detection in Rated Hospital Reviews ...
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Same same, but different ? On the Relation of Information Science and the Digital Humanities A Scientometric Comparison of Academic Journals Using LDA and Hierarchical Clustering ...
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Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities ...
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SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities ...
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Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques ...
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HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures ...
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Allgemeines bibliographisches Lexikon ; Bd. 1 : A - L
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In: Drucke 19. Jh. (2021)
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Allgemeines bibliographisches Lexikon ; Bd. 2 : M - Z
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In: Drucke 19. Jh. (2021)
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Classifying user information needs in cooking dialogues – an empirical performance evaluation of transformer networks
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Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation
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The Influence of Multilingualism and Mutual Intelligibility on Wikipedia Reading Behaviour: A Research Proposal
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SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities
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Same same, but different ? On the Relation of Information Science and the Digital Humanities A Scientometric Comparison of Academic Journals Using LDA and Hierarchical Clustering
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Abstract:
In this paper we investigate the relationship of Information Science (IS) and the Digital Humanities (DH) by means of a scientometric comparison of academic journals from the respective disciplines. In order to identify scholarly practices for both disciplines, we apply a recent variant of LDA topic modeling that makes use of additional hierarchical clustering. The results reveal the existence of characteristic topic areas for both IS (information retrieval, information seeking behavior, scientometrics) and DH (computational linguistics, distant reading and digital editions) that can be used to distinguish them as disciplines in their own right. However, there is also a larger shared area of practices related to information management and also a few shared topic clusters that indicate a common ground for – mostly methodological – exchange between the two disciplines.
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Keyword:
020 Bibliotheks- und Informationswissenschaft; ddc:020
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URL: https://epub.uni-regensburg.de/44944/ https://epub.uni-regensburg.de/44944/1/isi_burghardt_luhmann.pdf
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Entwicklung und Evaluation eines Tools zur lexikonbasierten Sentiment Analysis für die Digital Humanities
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Omission of Information: Identifying Political Slant via an Analysis of Co-occurring Entities
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