Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation system

@inproceedings{Ho2012MiningFS,
  title={Mining future spatiotemporal events and their sentiment from online news articles for location-aware recommendation system},
  author={Shen-Shyang Ho and Michael D. Lieberman and Pu Wang and Hanan Samet},
  booktitle={MobiGIS},
  year={2012}
}
The future-related information mining task for online web resources such as news articles and blogs has been getting more attention due to its potential usefulness in supporting individual's decision making in a world where massive new data are generated daily. Instead of building a data-driven model to predict the future, one extracts future events from these massive data with high probability that they occur at a future time and a specific geographic location. Such spatiotemporal future… CONTINUE READING
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