--------------------------------------------------
topic beta words
------- --------- --------------------------------
1 0.1429 gender
1 0.1071 stem
1 0.07143 equality, gap
1 0.03571 achieve, paradox, decades,
engineering, mathematics,
pronounced, science,
technology, parity, achieving,
country, genderequality,
labor, likelihood, market,
require, studying
2 0.125 stem, gender
2 0.0625 equality, decades, parity,
interventions, achieving,
addressing, aimed, complex,
disciplines, institutional,
issues, prevent
3 0.1489 stem
3 0.06383 gender, equality
3 0.04255 lack, support, achieve,
social, education
3 0.02128 girls, science, literature,
concern, encouragement, goals,
paper, subjects, parity,
fields, achieving, goal,
improving, overlooked,
raising, results, ambassadors,
pathway, political, reported,
researcher, residence, sought,
tertiary
4 0.05882 stem, achieving, issues, 5,
sdg
4 0.02941 gender, equality, critical,
goals, fields, academia,
attention, companies,
development, increasing, play,
professionals, received, role,
sustainable, 4, address,
contribute, identifying,
options, policy, research,
sdgs, specifically
5 0.125 stem, gender, equality, women
5 0.0625 achieve, demonstrating,
diversity, empower, involved,
professional, sdg5, teachers
6 0.129 gender
6 0.09677 stem, girls
6 0.06452 equality, achieve, emphasizes
6 0.03226 careers, discrimination,
efforts, encourage,
participate, society,
systemic, tackle, education,
excel, learn, learning,
opportunities, responsive,
systems
7 0.09677 stem, gender, equality, women
7 0.03226 lack, achieving, disciplines,
barriers, ceiling, glass, key,
norms, perceived, perceptions,
respect, societal, absent,
accelerate, advance, central,
influential, notably, remain
8 0.1333 stem, gender
8 0.1 equality
8 0.06667 involving
8 0.03333 achieve, 99.5, achieved, aims,
attained, current, data,
parity, rate, secondary,
study, boards, committees,
departments, impossible,
institutions, practically
9 0.1154 stem, gender
9 0.07692 equality
9 0.05769 study
9 0.03846 al, education, fields
9 0.01923 achieve, persists, 2011, 2017,
focused, interventions, level,
o'brien, stout, achieving,
development, sustainable,
research, describes, factors,
field, inequality, pose,
power, formulated, hypothesis,
investigated, null, posed,
promoting, questions,
strategies
10 0.09375 stem, gender
10 0.0625 equality
10 0.03125 achieve, constructs, critical,
disparities, examine, focus,
measures, paradox, persists,
rates, related, relative,
strength, america, corpus,
domains, dynamic, landscape,
latin, leadership, literature,
low, policies, women’s
--------------------------------------------------
Document-feature matrix of: 20 documents, 194 features (91.78% sparse) and 4 docvars.
features
docs gender inequ educ still persist studi describ factor caus stem
text1 3 1 1 1 1 1 1 1 1 2
text2 1 0 0 0 0 1 0 0 0 1
text3 1 0 0 0 0 0 0 0 0 3
text4 2 0 0 0 0 0 0 0 0 1
text5 2 0 0 0 0 1 1 0 0 2
text6 2 0 1 0 0 1 0 0 0 3
[ reached max_ndoc ... 14 more documents, reached max_nfeat ... 184 more features ] stem gender equal achiev educ studi field women men pariti
34 31 23 17 5 5 5 5 4 4 
stem gender equal achiev educ studi field pariti goal women
20 19 19 17 5 5 4 4 3 3
issu girl still persist describ
3 3 2 2 2 give opportun learn excel gender-respons
1 1 1 1 1
happen dispar three stem-rel construct
1 1 1 1 1
relat strength measur examin whether
1 1 1 1 1 [1] 20[1] 6 educ studi achiev
3.010300 3.010300 1.199878 [1] 3 3Feature co-occurrence matrix of: 3 by 3 features.
features
features educ studi achiev
educ -0.5989594 0.7249525 0.2124702
studi 0 -0.5989594 0.1699762
achiev 0 0 -0.5575948
# A tibble: 1 × 5
positive_abstracts negative_abstracts neutral_abstracts avg_sentiment_score
<int> <int> <int> <dbl>
1 8 6 2 0.25
# ℹ 1 more variable: median_sentiment_score <dbl>[1] "Top 5 Most Positive Abstracts:"# A tibble: 5 × 6
title negative positive sentiment_score sentiment_ratio total_words
<chr> <int> <int> <int> <dbl> <int>
1 [PDF][PDF] Aust… 0 3 3 4 3
2 [PDF][PDF] Towa… 0 2 2 3 2
3 Engaging women … 0 1 1 2 1
4 Gender Equality… 0 1 1 2 1
5 The gender-equa… 0 1 1 2 1[1] "Top 5 Most Negative Abstracts:"# A tibble: 5 × 6
title negative positive sentiment_score sentiment_ratio total_words
<chr> <int> <int> <int> <dbl> <int>
1 [HTML][HTML] In… 2 0 -2 0.333 2
2 Cross-Cultural … 1 0 -1 0.5 1
3 The FESTA proje… 1 0 -1 0.5 1
4 [HTML][HTML] To… 2 1 -1 0.667 3
5 [PDF][PDF] Expl… 1 0 -1 0.5 1
Reutilización
Cómo citar
BibTeX
@online{robano2024,
author = {Robano, Virginia},
title = {Meta análisis de documentos sobre},
date = {2024-08-02},
url = {https://ceibal-fichas-genero-stem.netlify.app/posts/meta Google Scholar/},
langid = {es}
}
Por favor, cita este trabajo como:
Robano, Virginia. 2024. “Meta análisis de documentos
sobre.” August 2, 2024. https://ceibal-fichas-genero-stem.netlify.app/posts/meta
Google Scholar/.