Title :
Polarity Shifting: Corpus Construction and Analysis
Author :
Zhang, Xiaoqian ; Li, Shoushan ; Zhou, Guodong ; Zhao, Hongxia
Author_Institution :
Natural Language Process. Lab., Soochow Univ., Suzhou, China
Abstract :
Polarity shifting has been a challenge to automatic sentiment classification. In this paper, we create a corpus which consists of polarity-shifted sentences in various kinds of product reviews. In the corpus, both the sentimental words and shifting trigger words are annotated. Furthermore, we analyze all the polarity shifted sentences and categorize them into five categories: opinion-itself, holder, target, time and hypothesis. Experimental study shows the agreement of annotation and the distribution of the five categories of polarity shifting.
Keywords :
data analysis; pattern classification; text analysis; corpus analysis; corpus construction; holder category; hypothesis category; opinion-itself category; polarity shifting; polarity-shifted sentence; product review; sentiment classification; sentimental words; shifting trigger words; target category; text classification; time category; Computational linguistics; Data mining; Dictionaries; Machine learning; Manuals; Noise; Vectors; corpus annotation; polarity shifting; sentiment classification;
Conference_Titel :
Asian Language Processing (IALP), 2011 International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1733-8
DOI :
10.1109/IALP.2011.27
