Publikation:

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

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Kwon_0-301049.pdf
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Datum

2015

Autor:innen

Choo, Jaegul
Kim, Sung-Hee
Park, Haesun
Yi, Ji Soo

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

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URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-0-301049
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Internationale Patentnummer

Link zur Lizenz
Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

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Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen 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

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
Rezension
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Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Verknüpfte Datensätze

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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Interner Vermerk

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Kontakt
URL der Originalveröffentl.
http://poloclub.gatech.edu/idea2015/papers/p47-kwon.pdf

Prüfdatum der URL

2016-01-15

Prüfungsdatum der Dissertation

Finanzierungsart

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