various social media services. We will first use the data collected before from YouTube to do various statistics analyses such as correlation and regression. We will then introduce R - a platform for doing statistical analysis. Using R, then we will analyze a much larger dataset obtained from ...
We first consider the ‘Wikipedia Participation Challenge’ sponsored by Wikipedia itself (the Wikimedia foundation), it ‘challenge[d] participants... to predict the number of edits an editor will make five months from the end date of the training dataset’ (wik 2012). The challenge grew out...
23,24, or used social media data along with other type of crowdsourced information (Wikipedia, OpenStreetMap)32. In addition, only few studies have used more controlled data sources, such as surveys, official statistics and interviews, to validate the ...
Temporal Popularity Image Collection (TPIC) is a large-scale and social media popularity prediction dataset including 680K social media posts with images from anonymized users of Flickr.com and their photo-sharing records range of 3 years. Meanwhile, TPIC is a multi-faceted social media dataset, ...
To learn and evaluate such models, we introduce VideoStory, a new large-scale dataset for video description as a new challenge for multi-sentence video description. Our VideoStory captions dataset is complementary to prior work and contains 20k videos posted publicly on a social media platform ...
From Social Media, mainly Text data will be used for sentiment analysis. The data collected from the different social media will be pre-processed from the corresponding dataset where all the unwanted data or details will be removed. Pre-processed data will be used for the extraction of features...
“Nutrition” and “Food” in Online Media in the Republic of Moldova: Content Analysis 1Introduction Food and social media is highly a controversial topic. While some studies point out that the use of social media can be associated with an increase of unhealthy food intake and Body Mass Index...
Conventional multiple imputation (MI) (Rubin, 1987) replaces the missing values in a dataset by m > 1 sets of simulated values. We describe a two-stage extension of MI in which the missing values are partitioned into two groups and imput... O Harel,JL Schafer 被引量: 43发表: 2003年...
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