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- Autorinnen/Autoren:
- Geierhos, Michaela; Bäumer, Frederik Simon; Schulze, Sabine; Stuß, Valentina
- Dokumenttyp:
- Sammelbandbeitrag / Paper in Collective Volume
- Titel:
- Filtering Reviews by Random Individual Error
- Herausgebende Sammelband:
- Ali, Moonis; Kwon, Young Sig; Lee, Chang-Hwan; Kim, Juntae; Kim, Yongdai
- Titel Konferenzpublikation:
- Current Approaches in Applied Artificial Intelligence
- Untertitel Konferenzpublikation:
- 28th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2015, Seoul, South Korea, June 10-12, 2015, Proceedings
- Serie/Reihe:
- Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
- Band:
- 9101
- Konferenztitel:
- International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (28., 2015, Seoul)
- Konferenztitel:
- IEA/AIE 2015
- Tagungsort:
- Seoul, South Korea
- Jahr der Konferenz:
- 2015
- Datum Beginn der Konferenz:
- 10.06.2015
- Datum Ende der Konferenz:
- 12.06.2015
- Verlagsort:
- Cham
- Verlag:
- Springer
- Jahr:
- 2015
- Seitenbereich:
- 305-315
- Sprache:
- Englisch
- Abstract:
- Opinion mining from physician rating websites depends on the quality of the extracted information. Sometimes reviews are user-error prone and the assigned stars or grades contradict the associated content. We therefore aim at detecting random individual error within reviews. Such errors comprise the disagreement in polarity of review texts and the respective ratings. The challenges that thereby arise are (1) the content and sentiment analysis of the review texts and (2) the removal of the random... »
- ISBN:
- 978-3-319-19065-5 ; 978-3-319-19066-2
- DOI:
- 10.1007/978-3-319-19066-2_30
- URL zum Inhalt:
- https://doi.org/10.1007/978-3-319-19066-2_30
- Open Access:
- Nein / No
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