Understanding the impact of sampling and noise on detecting events using twitter.
Yifang WeiLisa SinghPublished in: IEEE BigData (2017)
Keyphrases
- social media
- event detection
- social networks
- real world events
- social media data
- noise model
- news media
- parameter space
- random noise
- random sampling
- noise reduction
- signal to noise ratio
- missing data
- noisy data
- sample size
- gaussian noise
- denoising
- neural network
- noisy environments
- row column
- low pass filtering
- sampled data
- polarity classification
- event recognition
- noise free
- sampling methods
- sampling algorithm
- median filter
- social networking
- online social networks
- monte carlo
- active learning