Searching microblogs: coping with sparsity and document quality
By Nasir Naveed, Thomas Gottron, J´erˆome Kunegis, Arifah Che Alhadi. 2011
96 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Carlos Castillo
- Fernando Diaz
- Fabio A. Crestani
- Scott Sanner
- Lexing Xie
- Emre Kıcıman
- Rishabh Mehrotra
- Alexandra Olteanu
In Computer Vision and Pattern Recognition
- Fernando Diaz
- Fabio A. Crestani
- Carlos Castillo
- Scott Sanner
- Alexandra Olteanu
- Wray L. Buntine
- Anastasia Giahanou
- Mohammad Emtiyaz Khan
Citations in the corpus
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Noise refers to content that is incomplete, corrupted, contains typos/errors, or content that is not reliable or credible (Naveed et al., 2011; boyd and Crawford, 2012).”
- Improving LDA topic models for microblogs via tweet pooling and automatic labeling (2013, methodology): “[8] used retweet as an indicator of “interesting-Table ness” to improve retrieval quality.”
- Like It or Not (2016, methodology): “This dataset has been also used to address other tasks applied on Twitter such as microblog search [Naveed et al. 2011] and topic modeling [Zhao et al. 2011].”