Opinion Marks : A Human-Based Computation Approach to Instill Structure into Unstructured Text on the Web

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2015
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Choo, Jaegul
Kim, Sung-Hee
Park, Haesun
Yi, Ji Soo
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POLO CHAU, , ed. and others. Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics Permission. New York: ACM, 2015, pp. 47-55
Zusammenfassung

Despite recent improvements in computational approaches such as
machine learning, natural language processing, and computational
linguistics, making a computer understand human-generated unstructured
text still remains a difficult problem to solve. To alleviate
the challenges, we propose an approach called “Opinion Marks,”
which enables writers to mark positive and negative aspects of a
topic on their own text. In addition, Opinion Marks incorporates an
automatic marking suggestion algorithm to offload a user’s marking
effort. The phrases marked with Opinion Marks can be further
used to clarify the sentiments of other text in a similar context.
We implemented Opinion Marks at a question answering website
http://caniask.net. To test the efficacy of Opinion Marks, we
conducted a crowdsourced experiment with 144 participants in a
between-subject design under three different conditions: 1) human
marking only; 2) machine marking only (automatic marking suggestion);
and 3) human-machine collaboration (Opinion Marks).
This study revealed that Opinion Marks significantly improves the
quality of marked phrases and usability of the system.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
human-based computation, user interface, crowdsourcing
Konferenz
KDD 2015 Workshop on Interactive Data Exploration and Analytics (IDEA’15), 13. Aug. 2015, Sydney
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Zitieren
ISO 690KWON, Bum Chul, Jaegul CHOO, Sung-Hee KIM, Daniel A. KEIM, Haesun PARK, Ji Soo YI, 2015. Opinion Marks : A Human-Based Computation Approach to Instill Structure into Unstructured Text on the Web. KDD 2015 Workshop on Interactive Data Exploration and Analytics (IDEA’15). Sydney, 13. Aug. 2015. In: POLO CHAU, , ed. and others. Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics Permission. New York: ACM, 2015, pp. 47-55
BibTex
@inproceedings{Kwon2015Opini-32597,
  year={2015},
  title={Opinion Marks : A Human-Based Computation Approach to Instill Structure into Unstructured Text on the Web},
  url={http://poloclub.gatech.edu/idea2015/papers/p47-kwon.pdf},
  publisher={ACM},
  address={New York},
  booktitle={Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics Permission},
  pages={47--55},
  editor={Polo Chau},
  author={Kwon, Bum Chul and Choo, Jaegul and Kim, Sung-Hee and Keim, Daniel A. and Park, Haesun and Yi, Ji Soo}
}
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