Using rhetorical structure in sentiment analysis

Alexander Hogenboom, Flavius Frasincar, Franciska M.G. de Jong, Uzay Kaymak

  • 19 Citations

Abstract

Automated sentiment analysis has become an active field of study with a broad applicability. One of the key open research issues lies in dealing with structural aspects of text when analyzing its conveyed sentiment. Recent work uses structural aspects of text in order to distinguish important text segments from less important ones in terms of their contribution to the overall sentiment. Yet, existing methods are conned to making coarse-grained distinctions between text segments based on segments' rhetorical roles, while not accounting for the full hierarchical rhetorical structure in which these roles are dened. We hypothesize that a better understanding of a text's conveyed sentiment can be obtained by guiding automated sentiment analysis by the full rhetorical structure of text. We evaluate our hypothesis in a framework for sentiment analysis that is based on Rhetorical Structure Theory, at the level of sentences, paragraphs, and documents. On an English movie review corpus, we obtain signicant classication performance improvements compared to baselines not or only shallowly accounting for rhetorical structure, with the best results generated by exploiting a text's full sentential rhetorical structure.
Original languageUndefined
Pages (from-to)69-77
Number of pages9
JournalCommunications of the ACM
Volume58
Issue number7
DOIs
StatePublished - Jul 2015

Keywords

  • EWI-25974
  • METIS-312579
  • IR-96334

Cite this

Hogenboom, A., Frasincar, F., de Jong, F. M. G., & Kaymak, U. (2015). Using rhetorical structure in sentiment analysis. Communications of the ACM, 58(7), 69-77. DOI: 10.1145/2699418

Hogenboom, Alexander; Frasincar, Flavius; de Jong, Franciska M.G.; Kaymak, Uzay / Using rhetorical structure in sentiment analysis.

In: Communications of the ACM, Vol. 58, No. 7, 07.2015, p. 69-77.

Research output: Scientific - peer-reviewArticle

@article{3324ecf532814c3f877cc6dd5b2ebead,
title = "Using rhetorical structure in sentiment analysis",
abstract = "Automated sentiment analysis has become an active field of study with a broad applicability. One of the key open research issues lies in dealing with structural aspects of text when analyzing its conveyed sentiment. Recent work uses structural aspects of text in order to distinguish important text segments from less important ones in terms of their contribution to the overall sentiment. Yet, existing methods are conned to making coarse-grained distinctions between text segments based on segments' rhetorical roles, while not accounting for the full hierarchical rhetorical structure in which these roles are dened. We hypothesize that a better understanding of a text's conveyed sentiment can be obtained by guiding automated sentiment analysis by the full rhetorical structure of text. We evaluate our hypothesis in a framework for sentiment analysis that is based on Rhetorical Structure Theory, at the level of sentences, paragraphs, and documents. On an English movie review corpus, we obtain signicant classication performance improvements compared to baselines not or only shallowly accounting for rhetorical structure, with the best results generated by exploiting a text's full sentential rhetorical structure.",
keywords = "EWI-25974, METIS-312579, IR-96334",
author = "Alexander Hogenboom and Flavius Frasincar and {de Jong}, {Franciska M.G.} and Uzay Kaymak",
year = "2015",
month = "7",
doi = "10.1145/2699418",
volume = "58",
pages = "69--77",
journal = "Communications of the ACM",
issn = "0001-0782",
publisher = "Association for Computing Machinery (ACM)",
number = "7",

}

Hogenboom, A, Frasincar, F, de Jong, FMG & Kaymak, U 2015, 'Using rhetorical structure in sentiment analysis' Communications of the ACM, vol 58, no. 7, pp. 69-77. DOI: 10.1145/2699418

Using rhetorical structure in sentiment analysis. / Hogenboom, Alexander; Frasincar, Flavius; de Jong, Franciska M.G.; Kaymak, Uzay.

In: Communications of the ACM, Vol. 58, No. 7, 07.2015, p. 69-77.

Research output: Scientific - peer-reviewArticle

TY - JOUR

T1 - Using rhetorical structure in sentiment analysis

AU - Hogenboom,Alexander

AU - Frasincar,Flavius

AU - de Jong,Franciska M.G.

AU - Kaymak,Uzay

PY - 2015/7

Y1 - 2015/7

N2 - Automated sentiment analysis has become an active field of study with a broad applicability. One of the key open research issues lies in dealing with structural aspects of text when analyzing its conveyed sentiment. Recent work uses structural aspects of text in order to distinguish important text segments from less important ones in terms of their contribution to the overall sentiment. Yet, existing methods are conned to making coarse-grained distinctions between text segments based on segments' rhetorical roles, while not accounting for the full hierarchical rhetorical structure in which these roles are dened. We hypothesize that a better understanding of a text's conveyed sentiment can be obtained by guiding automated sentiment analysis by the full rhetorical structure of text. We evaluate our hypothesis in a framework for sentiment analysis that is based on Rhetorical Structure Theory, at the level of sentences, paragraphs, and documents. On an English movie review corpus, we obtain signicant classication performance improvements compared to baselines not or only shallowly accounting for rhetorical structure, with the best results generated by exploiting a text's full sentential rhetorical structure.

AB - Automated sentiment analysis has become an active field of study with a broad applicability. One of the key open research issues lies in dealing with structural aspects of text when analyzing its conveyed sentiment. Recent work uses structural aspects of text in order to distinguish important text segments from less important ones in terms of their contribution to the overall sentiment. Yet, existing methods are conned to making coarse-grained distinctions between text segments based on segments' rhetorical roles, while not accounting for the full hierarchical rhetorical structure in which these roles are dened. We hypothesize that a better understanding of a text's conveyed sentiment can be obtained by guiding automated sentiment analysis by the full rhetorical structure of text. We evaluate our hypothesis in a framework for sentiment analysis that is based on Rhetorical Structure Theory, at the level of sentences, paragraphs, and documents. On an English movie review corpus, we obtain signicant classication performance improvements compared to baselines not or only shallowly accounting for rhetorical structure, with the best results generated by exploiting a text's full sentential rhetorical structure.

KW - EWI-25974

KW - METIS-312579

KW - IR-96334

U2 - 10.1145/2699418

DO - 10.1145/2699418

M3 - Article

VL - 58

SP - 69

EP - 77

JO - Communications of the ACM

T2 - Communications of the ACM

JF - Communications of the ACM

SN - 0001-0782

IS - 7

ER -

Hogenboom A, Frasincar F, de Jong FMG, Kaymak U. Using rhetorical structure in sentiment analysis. Communications of the ACM. 2015 Jul;58(7):69-77. Available from, DOI: 10.1145/2699418