LitCovid-sentences  

PMC:7143846 / 5616-9107 JSONTXT 10 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T36 0-2 Sentence denotes 2.
T37 3-24 Sentence denotes Materials and Methods
T38 26-30 Sentence denotes 2.1.
T39 31-63 Sentence denotes Participants and Data Collection
T40 64-134 Sentence denotes The samples in this study were from the original Weibo data pool [17].
T41 135-201 Sentence denotes The data pool contained more than 1.16 million active Weibo users.
T42 202-335 Sentence denotes Weibo is a popular platform to share and discuss individual information and life activities, as well as celebrity news in China [18].
T43 336-442 Sentence denotes The retrieved data included (1) user’s profile information, (2) network behaviors, and (3) Weibo messages.
T44 443-537 Sentence denotes Privacy was strictly protected during the procedure, referring to the ethical principles [19].
T45 538-617 Sentence denotes We have obtained the Ethical Committee’s approval and the ethic code is H15009.
T46 618-713 Sentence denotes The following inclusion criteria were employed to select active Weibo users from the data pool.
T47 714-840 Sentence denotes First, they had published at least 50 original Weibo posts around a month in total from 31 December, 2019 to 26 January, 2020.
T48 841-926 Sentence denotes Second, their authentication type is non-institutional (e.g., individual user, etc.).
T49 927-1003 Sentence denotes Third, their regional authentication is in China, not “overseas” or “other”.
T50 1004-1185 Sentence denotes We acquired 17,865 active Weibo users finally, then fetched all their original posts published during 13 January, 2020 to 26 January, 2020 into the two-week period for the analysis.
T51 1187-1191 Sentence denotes 2.2.
T52 1192-1242 Sentence denotes Measurement of Psychological Traits and Procedures
T53 1243-1496 Sentence denotes In this study, we used Online Ecological Recognition (OER) [20], which referred to the automatic recognition of psychological profile (e.g., anxiety, well-being, etc.) by using predictive models [17,20,21] based on ecological behavioral data from Weibo.
T54 1497-1761 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 1762-2092 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 2093-2162 Sentence denotes These lexical features were data sources for word frequency analysis.
T57 2163-2341 Sentence denotes After feature extraction, we used the psychological prediction model [25] obtained from the preliminary training to predict the psychological profile of these active Weibo users.
T58 2342-2633 Sentence denotes These predictive models are tools developed for online psychology research based on big data and deep learning technologies, including emotional indicators (anxiety, depression, indignation, and Oxford happiness), cognitive indicators (social risk judgment and life satisfaction), and so on.
T59 2634-2728 Sentence denotes Figure 1 portrays the procedure from feature extraction to psychological indicator prediction.
T60 2729-2817 Sentence denotes All the prediction models have reached a moderate correlation with questionnaire scores.
T61 2818-2899 Sentence denotes The feasibility of predictive models has been repeatedly demonstrated [26,27,28].
T62 2900-3165 Sentence denotes We calculated word frequency, scores of negative emotional indicators (i.e., anxiety, depression, and indignation), positive emotional indicators (i.e., Oxford happiness), and cognitive indicators (i.e., social risk and life satisfaction) of the collected messages.
T63 3166-3491 Sentence denotes We then compared the differences of psychological characteristics before and after the declaration of outbreak of COVID-19 on 20 January, 2020 through the paired sample t-test by using SPSS (Statistical Product and Service Solutions) 22, which is published by IBM (International Business Machines Corporation), New York, USA.