Umfang:
1 Online-Ressource (xii, 131 Seiten, 18504 KB)
,
Illustrationen, Diagramme
Inhalt:
Text collections, such as corpora of books, research articles, news, or business documents are an important resource for knowledge discovery. Exploring large document collections by hand is a cumbersome but necessary task to gain new insights and find relevant information. Our digitised society allows us to utilise algorithms to support the information seeking process, for example with the help of retrieval or recommender systems. However, these systems only provide selective views of the data and require some prior knowledge to issue meaningful queries and asses a system’s response. The advancements of machine learning allow us to reduce this gap and better assist the information seeking process. For example, instead of sighting countless business documents by hand, journalists and investigator scan employ natural language processing techniques, such as named entity recognition. Al-though this greatly improves the capabilities of a data exploration platform, the wealth of information is still overwhelming. An overview of the ...
Anmerkung:
Dissertation Universität Potsdam 2022
Sprache:
Englisch
Schlagwort(e):
Hochschulschrift
DOI:
10.25932/publishup-56263
URN:
urn:nbn:de:kobv:517-opus4-562636
URL:
https://d-nb.info/1270570382/34
Mehr zum Autor:
Naumann, Felix 1971-
Mehr zum Autor:
Krestel, Ralf
Mehr zum Autor:
Jäschke, Robert 1980-
Mehr zum Autor:
Gertz, Michael
Mehr zum Autor:
Leser, Ulf
