PMC:7143846 / 7113-7778
Annnotations
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T35 | 177-179 | http://purl.obolibrary.org/obo/CLO_0050507 | denotes | 22 |
T36 | 438-445 | http://purl.obolibrary.org/obo/BFO_0000030 | denotes | objects |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T10 | 22-38 | http://purl.obolibrary.org/obo/GO_0048731 | denotes | system developed |
T11 | 205-217 | http://purl.obolibrary.org/obo/GO_0035282 | denotes | segmentation |
T12 | 290-302 | http://purl.obolibrary.org/obo/GO_0035282 | denotes | segmentation |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T54 | 0-264 | Sentence | denotes | We employed Text Mind system developed by the Computational Cyber Psychology Laboratory at the Institute of Psychology, Chinese Academy of Sciences to extract content features [22], including Chinese word segmentation tool [17], and psychoanalytic dictionary [23]. |
T55 | 265-595 | Sentence | denotes | We used the Chinese word segmentation tool to divide users’ original microblog content into words/phrases with linguistic annotations, such as verbs, nouns, adverbials, and objects [24], and then extracted psychologically meaningful categories through the simplified Chinese LIWC (Language Inquiry and Word Count) dictionary [23]. |
T56 | 596-665 | Sentence | denotes | These lexical features were data sources for word frequency analysis. |
2_test
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
32204411-27322382-49451143 | 260-262 | 27322382 | denotes | 23 |
32204411-27322382-49451144 | 591-593 | 27322382 | denotes | 23 |
T70343 | 260-262 | 27322382 | denotes | 23 |
T61461 | 591-593 | 27322382 | denotes | 23 |