Sentence examples for media datasets from inspiring English sources

Social media datasets is likely to overrepresent the view of certain segments of society over others.

In this study, we define SSTILs and SSTIL mining problem by taking into account spatial, temporal, and social dimensions of the social media datasets.

The third stream mainly studied financial networks from a technical perspective by adopting various data mining methods on large social media datasets.

But after some thought Dubois realized the voting machines would be great for exploring choice in various ways using large media datasets.

Future studies into the media coverage of medical tourism could usefully address each of these areas by continuing qualitative research with past or potential medical tourists [ 15] in order to better understand how elements of appeal, credibility and risk played a part in their choice; and undertaking comparative analysis of similar media datasets from other destination and source countries.

Fatalities were overrepresented in the media dataset compared with U.S. national estimates.

The mention of diverse and contrasting appeals and risks across the media dataset would appear to reinforce a belief that audiences, as an exercise of their freedom to choose, can make up their own minds.

Investigations into the presentation of appeal and risk on medical tourism websites have previously noted that testimonials, a common technique in general advertising and used liberally in this Australian media dataset, are of limited value to would-be medical tourists since they provide no insight into the individual-level differences that might influence medical outcomes [ 35].

With the growing popularity of social media, huge datasets (Big Data) of reviews, blogs, and social network feeds are being generated continuously.

Supplementary information contains normalized ratios (Dataset S2), z-scores relative to the unselected library (Dataset S3), z-scores relative to the enrichments performed in the media without antibiotics (Dataset S4), combined z-scores (Dataset S5), and the combined z-scores considered significant (Dataset S1).

Online media offer large datasets to explore political activity at a large scale, to find out about popularity and mobilization in political campaigns [13], and political alignment based on public messages [14, 15].