AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
Advanced twitter search trump12/14/2023 ![]() In one study, for example Luo and Wang were able to characterize 322,116 Trump or Clinton followers who subsequently became “un-followers.” (Even geotagged tweets may be sent while the sender is on vacation or attending a rally in another state.)īut Twitter mining also has its advantages–enabling researchers to quickly, continually, and inexpensively sample data on a scale that far surpasses the 1,000 or so responses that pollsters increasingly struggle to gather using traditional techniques. There’s no opportunity to ask follow-up questions, for example, and tweets are difficult to place geographically, limiting their application for studying trends in swing states. Twitter mining has its limits compared to the responses gleaned from traditional telephone polling. This helped the researchers analyze the role of each of those factors in the campaign, as they tracked the changes in each candidate’s followers before and after debates, for example, and how followers reacted to the candidates’ own tweets. Using advanced computer vision tools, the researchers trained an artificial neural network (what’s called a convolutional neural network) to determine–with 90 percent accuracy or more–the age, gender, and race of the candidates’ followers using their Twitter photos.
0 Comments
Read More
Leave a Reply. |