Co-occurrences of trending keywords in popular tech media
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资源简介:
<strong>Co-occurrences of trending keywords in the tech media (01.2016-03.2019)</strong>
<strong>Sources</strong>
Gigaom 0.5%
Euractiv 0.9%
The Conversation 1.3%
Politico Europe 1.3%
IEEE Spectrum 1.8%
Techforge 4.3%
Fastcompany 4.5%
The Guardian (Tech) 9.2%
Arstechnica 10.0%
Reuters 11%
Gizmodo 17.5%
ZDNet 18.3%
The Register 19.5%
<strong>Methodology</strong>
Exploring the relationship between topics
Pairs of terms which are mentioned together in media articles
Most trending social issues have been selected (e.g. 'metoo', 'gdpr')
The co-occurrence analysis is calculated for pairs consisting of emerging social issues and trending uni/bigrams
The number of times the terms appear in articles together with a social issue is divided by the number of times the social issue is mentioned across all articles
A single index is constructed for all word pairs by weighted average (taking into account the prevalence of the given source)
<strong>Files</strong>
unigram-unigram co-occurrences: cooc11weighted.csv
unigram-bigram co-occurrences: cooc12weighted.csv
bigram-unigram co-occurrences: cooc21weighted.csv
bigram-bigram co-occurrences: cooc22weighted.csv<br>
提供机构:
Zenodo
创建时间:
2019-03-27



