@inproceedings{bc5cbe8494404538aa00ef10fe5d66ac,
title = "A sentiment classification method for chinese document",
abstract = "For the great demand of analyzing and mining user's opinion, this paper presents a novel sentiment classification method for Chinese document. Firstly, the subjective documents are pre-processed and the sentiment features are extracted; then it calculates the basic polarity of the sentiment features based on a sentiment word dictionary, meanwhile dynamic sentiment word's polarity is judged and polarity adjustment is carried out according to the context information; finally, the overall polarity of document is determined by all sentiment words in it. Experiment of comparing with BaseLine and SVM shows the effectiveness of the proposed method.",
keywords = "Dynamic sentiword, Opinion mining, Polarity adjustment, Sentiment classification",
author = "Rui Liu and Rui Xiong and Lang Song",
year = "2010",
doi = "10.1109/ICCSE.2010.5593462",
language = "英语",
isbn = "9781424460052",
series = "ICCSE 2010 - 5th International Conference on Computer Science and Education, Final Program and Book of Abstracts",
pages = "918--922",
booktitle = "ICCSE 2010 - 5th International Conference on Computer Science and Education, Final Program and Book of Abstracts",
note = "5th International Conference on Computer Science and Education, ICCSE 2010 ; Conference date: 24-08-2010 Through 27-08-2010",
}