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T1  - Creating Maps of Science Using Topic Models : A Reproducibility Study 
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UR  - URN:NBN:fi:hulib-202012155145; http://hdl.handle.net/10138/322948 
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A1  - An, Yu 
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PB  - Helsingin yliopisto 
Y1  - 2020 
LA  - eng 
AB  - Maps of science, or cartography of scientific fields, provide insights into the state of scientific knowledge. Analogous to geographical maps, maps of science present the fields as positions and show the paths connecting each other, which can serve as an intuitive illustration for the history of science or a hint to spot potential opportunities for collaboration. In this work, I investigate the reproducibility of a method to generate such maps. The idea of the method is to derive representations... 
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KW  - machine learning; text mining; topic models; scientometrics; Kieliteknologia; Language Technology; Språkteknologi; Kielellisen diversiteetin ja digitaalisten menetelmien maisteriohjelma; Master's Programme Linguistic Diversity in the Digital Age; Magisterprogrammet i språklig diversitet och digitala metoder 
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