TY - GEN
T1 - Chinese sentiment analysis exploiting heterogeneous segmentations
AU - Pan, Da
AU - Zhang, Meishan
AU - Fu, Guohong
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - The Chinese language is a character-based language, with no explicit separators between words like English. Traditionally, word segmentation is conducted to convert Chinese sentences into word sequences, thus the same framework of English sentiment analysis can be exploited for Chinese. These work uses a specified word segmentor as a prerequisite step, yet ignores the fact that different segmentation styles exist in Chinese word segmentation, such as CTB, PKU, MSR and etc. In this paper, we study the influences of these heterogeneous segmentations for Chinese sentiment analysis, and then integrate these segmentations, based on both discrete and neural models. Experimental results show that different segmentations do affect the final performances, and the integrated models can achieve better performances.
AB - The Chinese language is a character-based language, with no explicit separators between words like English. Traditionally, word segmentation is conducted to convert Chinese sentences into word sequences, thus the same framework of English sentiment analysis can be exploited for Chinese. These work uses a specified word segmentor as a prerequisite step, yet ignores the fact that different segmentation styles exist in Chinese word segmentation, such as CTB, PKU, MSR and etc. In this paper, we study the influences of these heterogeneous segmentations for Chinese sentiment analysis, and then integrate these segmentations, based on both discrete and neural models. Experimental results show that different segmentations do affect the final performances, and the integrated models can achieve better performances.
KW - Heterogeneous segmentations
KW - Neural network
KW - Sentiment analysis
UR - https://www.scopus.com/pages/publications/84992521815
U2 - 10.1007/978-3-319-47674-2_32
DO - 10.1007/978-3-319-47674-2_32
M3 - 会议稿件
AN - SCOPUS:84992521815
SN - 9783319476735
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 387
EP - 398
BT - Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 15th China National Conference, CCL 2016 and 4th International Symposium, NLP-NABD 2016, Proceedings
A2 - Sun, Maosong
A2 - Liu, Zhiyuan
A2 - Liu, Yang
A2 - Lin, Hongfei
A2 - Huang, Xuanjing
PB - Springer Verlag
T2 - 15th China National Conference on Chinese Computational Linguistics, CCL 2016 and 4th International Symposium on Natural Language Processing Based on Naturally Annotated Big Data, NLP-NABD 2016
Y2 - 15 October 2016 through 16 October 2016
ER -