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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Peter, Wulff | - |
| dc.date.accessioned | 2023-04-07T08:48:15Z | - |
| dc.date.available | 2023-04-07T08:48:15Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://link.springer.com/article/10.1007/s10639-022-11531-5 | - |
| dc.identifier.uri | https://dlib.phenikaa-uni.edu.vn/handle/PNK/7680 | - |
| dc.description | CC BY | vi |
| dc.description.abstract | Scientists use specific terms to denote concepts, objects, phenomena, etc. The terms are then connected with each other in sentences that are used in science-specific language. Representing these connections through term networks can yield valuable insights into central terms and properties of the interconnections between them. Furthermore, understanding term networks can enhance assessment and diagnostics in science education. Computational means such as natural language processing and network analysis provide tools to analyze term networks in a principled way. This study utilizes natural language processing and network analysis to analyze linguistic properties of terms in the natural science disciplines (biology, chemistry, and physics). | vi |
| dc.language.iso | en | vi |
| dc.publisher | Springer | vi |
| dc.subject | Network analysis of terms | vi |
| dc.title | Network analysis of terms in the natural sciences insights from Wikipedia through natural language processing and network analysis | vi |
| dc.type | Book | vi |
| Appears in Collections | OER - Công nghệ thông tin | |
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