Combining Sentimental Expression-Level and Sentence-Level Classifiers to Improve Subjective Sentence Classification


The KIPS Transactions:PartB , Vol. 14, No. 7, pp. 559-566, Dec. 2007
10.3745/KIPSTB.2007.14.7.559,   PDF Download:

Abstract

Subjective sentences express opinions, emotions, evaluations and other subjective ideas relevant to products or events. These expressions sometimes can be seen in only part of a sentence, thus extracting features from a full-sentence can degrade the performance of subjective-sentence-classification. This paper presents a method for improving the performance of a subjectivity classifier by combining two classifiers generated from the different representations of an input sentence. One representation is a sentimental phrase that represents an automatically identified subjective expression or objective expression and the other representation is a full-sentence. Each representation is used to extract modified n-grams that are composed of a word and its contextual words' polarity information. The best performance, 79.7% accuracy, 2.5% improvement, was obtained when the phrase-level classifier and the sentence-level classifier were merged.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from September 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[IEEE Style]
I. H. Kang, "Combining Sentimental Expression-Level and Sentence-Level Classifiers to Improve Subjective Sentence Classification," The KIPS Transactions:PartB , vol. 14, no. 7, pp. 559-566, 2007. DOI: 10.3745/KIPSTB.2007.14.7.559.

[ACM Style]
In Ho Kang. 2007. Combining Sentimental Expression-Level and Sentence-Level Classifiers to Improve Subjective Sentence Classification. The KIPS Transactions:PartB , 14, 7, (2007), 559-566. DOI: 10.3745/KIPSTB.2007.14.7.559.