Evidence map›Paper›PMID 36935982›Full record

ArticleFrontiers in psychology2023

How do topics and emotions develop in elementary school children? A text mining perspective based on free-writing text over 6 years.

Mengjun Liu, Xinyu Jiang, Bingbing Zhang, Ting Song, Gang Yu, Guofang Liu, Nan Jiang, Di Wu, Zhi Zhou

Open access · goldFull text read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Mengjun LiuSchool of Education, Hubei University, Wuhan, China.
Xinyu JiangSchool of Education, Hubei University, Wuhan, China.
Bingbing ZhangSchool of Education, Hubei University, Wuhan, China.
Ting SongSchool of Foreign Languages, Hubei University, Wuhan, China.
Gang YuNo. 1 Middle School of Xiaochi Town, Huanggang, China.
Guofang LiuNo. 1 Middle School of Xiaochi Town, Huanggang, China.
Nan JiangSchool of Education, Hubei University, Wuhan, China.
Di WuSchool of Education, Hubei University, Wuhan, China.
Zhi ZhouChina Unicom Hubei Branch, Wuhan, China.
Hubei University · CNChina United Network Communications Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Free-text data with long duration and continuity have great potential for studying environmental concerns and emotional expressions in child development. Based on ecosystem theory, using topic modeling and sentiment analysis in text mining to mine 4556 free-text writing data from first to sixth grade in elementary school, this study aims to reveal concerned topics' evolutionary trends and sentiment expression differences in topics during elementary school children's development. The results show the following: (1) Children prefer to focus on the topics of school and family in elementary school; (2) With the growth of grades, the proportion of family topics continues to decline, while that of social culture topics keeps rising; (3) When describing school, family, social culture, and interest, children mostly express negative emotions, and when describing peers and ability they mostly express positive emotions; (4) As the grade increases, the emotional expression on social culture topics become negative, while that on ability and interest topics become positive, and there are more differences in emotion expression between topics in junior and senior elementary grades. Discussion and conclusion are discussed at the end.

Indexed as

children developmentecological systems theorysentiment analysistext miningtopic modeling

Identifiers

PMID36935982
PMCPMC10018174
OpenAlexW4322772215

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read17
measurements read76
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.