Feature Selection for Social Media Data

@article{Tang2014FeatureSF,
  title={Feature Selection for Social Media Data},
  author={Jiliang Tang and Huan Liu},
  journal={TKDD},
  year={2014},
  volume={8},
  pages={19:1-19:27}
}
Feature selection is widely used in preparing high-dimensional data for effective data mining. The explosive popularity of social media produces massive and high-dimensional data at an unprecedented rate, presenting new challenges to feature selection. Social media data consists of (1) traditional high-dimensional, attribute-value data such as posts, tweets, comments, and images, and (2) linked data that provides social context for posts and describes the relationships between social media… CONTINUE READING

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