FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2905776180> ?p ?o ?g. }

• W2905776180 endingPage "125" @default.
• W2905776180 startingPage "102" @default.
• W2905776180 abstract "This study assesses the potential of topic models coupled with machine translation for comparative communication research across language barriers. From a methodological point of view, the robustness of a combined approach is examined. For this purpose the results of different machine translation services (Google Translate vs. DeepL) as well as methods (full-text vs. term-by-term) are compared. From a substantive point of view, the integratability of the approach into comparative study designs is tested. For this, the online discourses about climate change in Germany, the United Kingdom, and the United States are compared. First, the results show that the approach is relatively robust and second, that integration in comparative study designs is not a problem. It is concluded that this as well as the relatively moderate costs in terms of time and money makes the strategy to couple topic models with machine translation a valuable addition to the toolbox of comparative communication researchers." @default.
• W2905776180 created "2019-01-01" @default.
• W2905776180 creator A5019787843 @default.
• W2905776180 date "2018-12-24" @default.
• W2905776180 modified "2023-10-02" @default.
• W2905776180 title "Overcoming Language Barriers: Assessing the Potential of Machine Translation and Topic Modeling for the Comparative Analysis of Multilingual Text Corpora" @default.
• W2905776180 cites W1547963838 @default.
• W2905776180 cites W186275585 @default.
• W2905776180 cites W1916023682 @default.
• W2905776180 cites W1979226811 @default.
• W2905776180 cites W1981453851 @default.
• W2905776180 cites W1988574456 @default.
• W2905776180 cites W1989923261 @default.
• W2905776180 cites W20160293 @default.
• W2905776180 cites W2017489100 @default.
• W2905776180 cites W2029456821 @default.
• W2905776180 cites W2040403711 @default.
• W2905776180 cites W2052830303 @default.
• W2905776180 cites W2071106922 @default.
• W2905776180 cites W2085763960 @default.
• W2905776180 cites W2095655043 @default.
• W2905776180 cites W2096974619 @default.
• W2905776180 cites W2102222275 @default.
• W2905776180 cites W2109114431 @default.
• W2905776180 cites W2131283790 @default.
• W2905776180 cites W2137504702 @default.
• W2905776180 cites W2143820656 @default.
• W2905776180 cites W2152040645 @default.
• W2905776180 cites W2159539107 @default.
• W2905776180 cites W2159544539 @default.
• W2905776180 cites W2306119308 @default.
• W2905776180 cites W2497051080 @default.
• W2905776180 cites W2497320369 @default.
• W2905776180 cites W2514185752 @default.
• W2905776180 cites W2519443851 @default.
• W2905776180 cites W2549458096 @default.
• W2905776180 cites W2584342642 @default.
• W2905776180 cites W2612150303 @default.
• W2905776180 cites W2613227046 @default.
• W2905776180 cites W2778001237 @default.
• W2905776180 cites W2790855988 @default.
• W2905776180 cites W1996406000 @default.
• W2905776180 doi "https://doi.org/10.1080/19312458.2018.1555798" @default.
• W2905776180 hasPublicationYear "2018" @default.
• W2905776180 type Work @default.
• W2905776180 sameAs 2905776180 @default.
• W2905776180 citedByCount "28" @default.
• W2905776180 countsByYear W29057761802020 @default.
• W2905776180 countsByYear W29057761802021 @default.
• W2905776180 countsByYear W29057761802022 @default.
• W2905776180 countsByYear W29057761802023 @default.
• W2905776180 crossrefType "journal-article" @default.
• W2905776180 hasAuthorship W2905776180A5019787843 @default.
• W2905776180 hasConcept C104317684 @default.
• W2905776180 hasConcept C105580179 @default.
• W2905776180 hasConcept C119857082 @default.
• W2905776180 hasConcept C121332964 @default.
• W2905776180 hasConcept C137293760 @default.
• W2905776180 hasConcept C149364088 @default.
• W2905776180 hasConcept C154945302 @default.
• W2905776180 hasConcept C185592680 @default.
• W2905776180 hasConcept C199360897 @default.
• W2905776180 hasConcept C203005215 @default.
• W2905776180 hasConcept C204321447 @default.
• W2905776180 hasConcept C2522767166 @default.
• W2905776180 hasConcept C2524010 @default.
• W2905776180 hasConcept C2777655017 @default.
• W2905776180 hasConcept C28719098 @default.
• W2905776180 hasConcept C33923547 @default.
• W2905776180 hasConcept C41008148 @default.
• W2905776180 hasConcept C55493867 @default.
• W2905776180 hasConcept C61797465 @default.
• W2905776180 hasConcept C62520636 @default.
• W2905776180 hasConcept C63479239 @default.
• W2905776180 hasConceptScore W2905776180C104317684 @default.
• W2905776180 hasConceptScore W2905776180C105580179 @default.
• W2905776180 hasConceptScore W2905776180C119857082 @default.
• W2905776180 hasConceptScore W2905776180C121332964 @default.
• W2905776180 hasConceptScore W2905776180C137293760 @default.
• W2905776180 hasConceptScore W2905776180C149364088 @default.
• W2905776180 hasConceptScore W2905776180C154945302 @default.
• W2905776180 hasConceptScore W2905776180C185592680 @default.
• W2905776180 hasConceptScore W2905776180C199360897 @default.
• W2905776180 hasConceptScore W2905776180C203005215 @default.
• W2905776180 hasConceptScore W2905776180C204321447 @default.
• W2905776180 hasConceptScore W2905776180C2522767166 @default.
• W2905776180 hasConceptScore W2905776180C2524010 @default.
• W2905776180 hasConceptScore W2905776180C2777655017 @default.
• W2905776180 hasConceptScore W2905776180C28719098 @default.
• W2905776180 hasConceptScore W2905776180C33923547 @default.
• W2905776180 hasConceptScore W2905776180C41008148 @default.
• W2905776180 hasConceptScore W2905776180C55493867 @default.
• W2905776180 hasConceptScore W2905776180C61797465 @default.
• W2905776180 hasConceptScore W2905776180C62520636 @default.
• W2905776180 hasConceptScore W2905776180C63479239 @default.
• W2905776180 hasFunder F4320320879 @default.
• W2905776180 hasFunder F4320320924 @default.
• W2905776180 hasIssue "2" @default.

• next