Papers in this category often use datasets of 100K+ users to predict psychological traits or engagement.
Knowing the origin will help in finding the specific "deep paper" or documentation you need. 100K RF FACEBOOK.xlsx
: Identifying 100,000 instances of automated or malicious accounts. Papers in this category often use datasets of
: Private Traits and Attributes are Predictable from Digital Records of Human Behavior (PNCAS). 2. Marketing & Reach Frequency (RF) Modeling RF allows for "feature importance" analysis
: Unlike "black box" deep learning, RF allows for "feature importance" analysis, showing exactly which Facebook metrics (e.g., shares vs. comments) are the strongest predictors.
In digital advertising, "RF" often stands for .