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Chinese Sentiment Analysis Exploiting Heterogeneous Segmentations

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Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data (NLP-NABD 2016, CCL 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10035))

Abstract

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.

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Notes

  1. 1.

    http://www.sighan.org/bakeoff2005/.

  2. 2.

    http://word2vec.googlecode.com/.

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Acknowledgments

We thank the anonymous reviewers for their constructive comments, which helped to improve the paper. This study was supported by Natural Science Foundation of Heilongjiang Province under Grant No. F2016036, National Natural Science Foundation of China under Grant No. 61170148, and the Returned Scholar Foundation of Heilongjiang Province, respectively.

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Authors and Affiliations

  1. School of Computer Science and Technology, Heilongjiang University, Harbin, 150080, China

    Da Pan, Meishan Zhang & Guohong Fu

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  1. Da Pan
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  2. Meishan Zhang
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  3. Guohong Fu
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Corresponding author

Correspondence to Guohong Fu .

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Editors and Affiliations

  1. Tsinghua University , Beijing, China

    Maosong Sun

  2. Fudan University , Shanghai, China

    Xuanjing Huang

  3. Dalian University of Technology , Dalian, China

    Hongfei Lin

  4. Tsinghua University , Beijing, China

    Zhiyuan Liu

  5. Tsinghua University , Beijing, China

    Yang Liu

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Pan, D., Zhang, M., Fu, G. (2016). Chinese Sentiment Analysis Exploiting Heterogeneous Segmentations. In: Sun, M., Huang, X., Lin, H., Liu, Z., Liu, Y. (eds) Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data. NLP-NABD CCL 2016 2016. Lecture Notes in Computer Science(), vol 10035. Springer, Cham. https://doi.org/10.1007/978-3-319-47674-2_32

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  • DOI: https://doi.org/10.1007/978-3-319-47674-2_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47673-5

  • Online ISBN: 978-3-319-47674-2

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