Year: 2007
Type: conference-paper
Abstract: In this paper, we propose a method to classify movie review documents into positive or negative opinions.There are several approaches to classify documents.The previous studies, however, used only a single classifier for the classification task.We describe a multiple classifier for the review document classification task.The method consists of three classifiers based on SVMs, ME and score calculation.We apply two voting methods and SVMs to the integration process of single classifiers.The integrated methods improved the accuracy as compared with the three single classifiers.The experimental results show the effectiveness of our method.
Authors: Kimitaka Tsutsumi, Kazutaka Shimada, Tsutomu Endo
Institution: Kyushu Institute of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W56794514