@inproceedings{9fa7df806de942b7af091639527ec445,
title = "Acknowledging discourse function for sentiment analysis",
abstract = "In this paper, we observe the effects that discourse function attribute to the task of training learned classifiers for sentiment analysis. Experimental results from our study show that training on a corpus of primarily persuasive documents can have a negative effect on the performance of supervised sentiment classification. In addition we demonstrate that through use of the Multinomial Na{\"i}ve Bayes classifier we can minimise the detrimental effects of discourse function during sentiment analysis.",
author = "Phillip Smith and Mark Lee",
year = "2014",
doi = "10.1007/978-3-642-54903-8-4",
language = "English",
isbn = "9783642549021 ",
volume = "8404 LNCS",
series = "Lecture Notes in Computer Science ",
publisher = "Springer",
pages = "45--52",
editor = "{Gelbukh }, {Alexander }",
booktitle = "Computational Linguistics and Intelligent Text Processing",
note = "Computational Linguistics and Intelligent Text Processing, 15th International Conference, CICLing 2014 ; Conference date: 06-04-2014 Through 12-04-2014",
}