Filtering Harmful Sentences Based on Multiple Word Co-occurrence

@article{Ando2010FilteringHS,
  title={Filtering Harmful Sentences Based on Multiple Word Co-occurrence},
  author={Satoshi Ando and Yutaro Fujii and Takayuki Ito},
  journal={2010 IEEE/ACIS 9th International Conference on Computer and Information Science},
  year={2010},
  pages={581-586}
}
BBSs (Bulletin Board Systems) and Social Network Services (SNS) have been increasing in recenter years. In such systems, users can easily upload and share their own information via personal computers, and also cellular phones. However some information, such as adult content, is not appropriate for all users, notably children. Many SNS and BBS providing companies have been trying to monitor and check harmful information which comes from their users. At the current stage, these companies manually… CONTINUE READING

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Showing 1-7 of 7 references

Classification of Spam Posts on Knowledge Searching Website

  • Daisuke Kobayashi, Mitsuru Ishizuka
  • The 21st Annual Conference of the JSAI,
  • 2007
1 Excerpt

Text Categorization Using Native Bayes Model Based on Co-Occurence

  • Yuichi TSUDA
  • words, Symposium on Information Theory and its…
  • 2006

Invoking emotions in a dialog system based on word-impressions

  • K. Mera, T. Ichimura, T. Aizawa, T. Yamashita
  • Trans. Japanese Society for Artificial…
  • 2002

Text classification, Trade fair of learning theories

  • M. Nagata, H. Taira
  • IPSJ Magazine,
  • 2001

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