Textual Demand Analysis: Detection of Users' Wants and Needs from Opinions

@inproceedings{Kanayama2008TextualDA,
  title={Textual Demand Analysis: Detection of Users' Wants and Needs from Opinions},
  author={Hiroshi Kanayama and Tetsuya Nasukawa},
  booktitle={COLING},
  year={2008}
}
  • Hiroshi Kanayama, Tetsuya Nasukawa
  • Published in COLING 2008
  • Computer Science
  • This paper tackles textual demand analysis, the task of capturing what people want or need, rather than identifying what they like or dislike, on which much conventional work has focused. It exploits syntactic patterns as clues to detect previously unknown demands, and requires domaindependent knowledge to get high recall. To build such patterns we created an unsupervised pattern induction method relying on the hypothesis that there are commonly desired aspects throughout a domain corpus… CONTINUE READING

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