Analyzing Trendy Twitter Hashtags in the 2022 French Election

arXiv:2310.07576v2 Announce Type: replace-cross
Abstract: Regressions trained to predict the future activity of social media users need rich features for accurate predictions. Many advanced models exist to generate such features; however, the time complexities of their computations are often prohibitive when they run on enormous data-sets. Some studies have shown that simple semantic network features can be rich enough to use for regressions without requiring complex computations. We propose a method for using semantic networks as user-level features for machine …

abstract advanced arxiv complexities cs.lg cs.si data election features french future generate media predictions social social media studies twitter type