Proceedings of the 18th Nordic Conference of Computational Linguistics
NODALIDA 2011.
Editors: Bolette Sandford Pedersen, Gunta Nešpore and Inguna Skadiņa.
NEALT Proceedings Series, Vol. 11 (2011), 168-147.
© 2011 The editors and contributors.
Published by
Northern European Association for Language
Technology (NEALT)
http://omilia.uio.no/nealt .
Electronically published at
Tartu University Library (Estonia)
http://hdl.handle.net/10062/16955 

Remus, Robert

English

We show that the quality of sentence-level subjectivity classification, i.e. the task of deciding whether a sentence is subjective or objective, can be improved by incorpo-rating hitherto unused features: readability measures. Hence we investigate in 6 dif-ferent readability formulae and propose an own. Their performance is evaluated in a 10-fold cross validation setting using ma-chine learning. Thereby, it is demonstrated that sentence-level subjectivity classifica-tion benefits from employing readability measures as features in addition to already well-known subjectivity clues. 

Robert Remus

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Improving sentence-level subjectivity classification through readability measurement

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Improving Sentence-level Subjectivity Classification through Readability Measurement

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Improving Sentence-level Subjectivity Classification through Readability Measurement

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