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https://dx.doi.org/10.1145/269...
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Using rhetorical structure in sentiment analysis

descriptionPublicationkeyboard_double_arrow_right Article 25 Jun 2015 Netherlands English Publisher:Association for Computing Machinery (ACM)Journal:Communications of the ACM, volume 58, pages 69-77 (issn: 0001-0782, eissn: 1557-7317, Copyright policy )
Authors: Alexander Hogenboom; Flavius Frasincar; Franciska de Jong; Uzay Kaymak;

doi: 10.1145/2699418

Using rhetorical structure in sentiment analysis

Abstract

A deep, fine-grain analysis of rhetorical structure highlights crucial sentiment-carrying text segments.

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2024 OA procedure, EUR ESE 32, ESHCC Studio

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
hybrid
Related to Research communities
Knowmad Institut
Netherlands Research Portal