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PMC:7143846 / 7113-7778 JSONTXT

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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