http://rdf.ncbi.nlm.nih.gov/pubchem/reference/34684953
Outgoing Links
| Predicate | Object |
|---|---|
| contentType | Journal Article |
| issn | 0049-089X |
| pageRange | 102798- |
| publicationName | Social Science Research |
| startingPage | 102798 |
| bibliographicCitation | van Loon A. Three families of automated text analysis. Soc Sci Res. 2022 Nov;108():102798. doi: 10.1016/j.ssresearch.2022.102798. PMID: 36334926. |
| creator | http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0002-9565-7392 |
| date | 202211 |
| identifier | https://doi.org/10.1016/j.ssresearch.2022.102798 https://pubmed.ncbi.nlm.nih.gov/36334926 |
| isPartOf | https://portal.issn.org/resource/ISSN/0049-089X http://rdf.ncbi.nlm.nih.gov/pubchem/journal/20467 |
| language | English |
| source | https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/ |
| title | Three families of automated text analysis |
| hasPrimarySubjectTerm | http://id.nlm.nih.gov/mesh/D012660 |
| hasSubjectTerm | http://id.nlm.nih.gov/mesh/D006801 |
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