Co-occurrences of trending keywords in popular tech media
Description
Co-occurrences of trending keywords in the tech media (01.2016-03.2019) Sources 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% Methodology 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) Files unigram-unigram co-occurrences: cooc11weighted.csv unigram-bigram co-occurrences: cooc12weighted.csv bigram-unigram co-occurrences: cooc21weighted.csv bigram-bigram co-occurrences: cooc22weighted.csv
Resources
| Name |
Format |
Description |
Link |
|
0 |
|
http://data.europa.eu/88u/dataset/oai-zenodo-org-2612862 |
|
0 |
|
http://data.europa.eu/88u/dataset/oai-zenodo-org-2612862 |
Tags
- co-occurrence
- webscraping
- tech-media