433 13 1434 3 7732 document 1434 Data_in_Brief_LDA_EPU_readme.txt text/plain 58c24c9cc5ab987e2167b8873d209c02 MD5 946 2017-06-28 15:20:45 https://researchdata.gla.ac.uk/433/1/Data_in_Brief_LDA_EPU_readme.txt 433 1 1 text/plain Text en public cc_by_4

Data_in_Brief_LDA_EPU_readme.txt

readme 1435 4 7734 document 1435 Data_in_Brief_LDA_EPU.xlsx application/vnd.openxmlformats-officedocument.spreadsheetml.sheet 1cac23bdd61e816e9f07ade01832530e MD5 345258 2017-06-28 15:20:49 https://researchdata.gla.ac.uk/433/2/Data_in_Brief_LDA_EPU.xlsx 433 2 2 application/vnd.openxmlformats-officedocument.spreadsheetml.sheet Spreadsheet en public cc_by_4

Data_in_Brief_LDA_EPU.xlsx

data 1436 1 7743 document 1436 indexcodes.txt text/plain 8a68a5bf58a05f43b1f20f235fdb19dd MD5 341 2017-06-28 15:39:06 https://researchdata.gla.ac.uk/433/3/indexcodes.txt 433 3 3 text/plain other Generate index codes conversion from Text to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.gla.ac.uk/id/document/1434 http://eprints.org/relation/isVolatileVersionOf https://researchdata.gla.ac.uk/id/document/1434 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.gla.ac.uk/id/document/1434 archive 10322 disk0/00/00/04/33 2017-06-28 15:33:38 2017-12-01 14:23:17 2017-12-01 14:17:49 data_collection show Azqueta Gavaldon Andres glaresearchdata:2017-12-01-433 pub 40102000 The EPU1 file shows the number of articles with the proportion of articles containing the list of keywords specified for each month and newspaper. For each newspaper, three components are shown, total number of articles that fulfil the set of keywords, total number of articles containing the word “today” and the proportion. The EPU2 file shows the evolution of the 30 topics unveiled by the unsupervised machine learning algorithm. Details regarding the algorithm can be seen in section and three of the paper. Each topic has three components: the number of articles that represent the topic per month, the total number of articles containing the word “today” (proxy for the total number of articles and equal across all topics), and the proportion of articles describing each topic (articles describing each topic divided by the total number of articles). The comparison file shows the evolution of EPU built with the two methods. 2017-12-01 published University of Glasgow 10.5525/gla.researchdata.433 Spreadsheet Andres Azqueta Gavaldon FALSE EN 2027-12-01 R FALSE FALSE http://eprints.gla.ac.uk/id/eprint/143154