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International Workshop on Worldwide Language Service Infrastructure

WLSI 2015: Worldwide Language Service Infrastructure pp 161–172Cite as

Mining Opinion Polarity from Multilingual Song Lyrics

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9442))

Abstract

Song opinion is an important criterion when people organize and access songs. The ever growing amount of song data in the Web, which includes multilingual songs, calls for the development of automatic tools in classifying songs by opinion polarity. Sony lyric is a critical resource for song opinion classification. In this paper, we propose an approach to mine the opinion polarity of songs based on song lyrics in a multilingual environment. This approach is based on classification and translation. Firstly, we build monolingual opinion classifiers using supervised learning techniques for resource-rich languages, i.e., languages that are rich of labeled training data. However, it is difficult to build a classifier for a resource-rare language. In this case, we employ Language Grid, which is an infrastructure that is built on the top of the Internet, and provides easy-to-use services for multilingual translation, to bridge the gap between the resources in different languages. Song lyrics are translated from resource-rare languages into resource-rich languages, then the pre-trained monolingual opinion classifiers can be used to classify the translated unseen lyrics. To build effective monolingual opinion classifiers, we employ statistical information of song lyrics as features rather than individual words in the song lyrics. Experiments show that, our proposed approach performs better than two typical baseline approaches.

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Notes

  1. 1.

    http://nlp.stanford.edu/software/tagger.shtml.

  2. 2.

    http://ictclas.org/ictclas_demo.html.

  3. 3.

    http://tartarus.org/martin/PorterStemmer/.

  4. 4.

    This dictionary contains 17,887 entries, and consists of 12 subsets, i.e., Chinese/English positive/negative feeling, Chines/English positive/negative sentiment, Chinese/English opinion, and Chinese/English degree.

  5. 5.

    http://langrid.org/en/index.html.

  6. 6.

    http://music.baidu.com/tag.

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Acknowledgments

This work was supported by the National Science Foundation of China under grant 61170165.

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Authors and Affiliations

  1. School of Computer Science and Engineering, Southeast University, Nanjing, 210096, China

    Qian Liu & Zhiqiang Gao

  2. Key Laboratory of Computer Network and Information Integration of Ministry of Education, Southeast University, Nanjing, 210096, China

    Qian Liu & Zhiqiang Gao

Authors
  1. Qian Liu
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  2. Zhiqiang Gao
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Corresponding author

Correspondence to Qian Liu .

Editor information

Editors and Affiliations

  1. Unit of Design, Kyoto University, Kyoto, Japan

    Yohei Murakami

  2. Kyoto University, Kyoto, Japan

    Donghui Lin

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Liu, Q., Gao, Z. (2016). Mining Opinion Polarity from Multilingual Song Lyrics. In: Murakami, Y., Lin, D. (eds) Worldwide Language Service Infrastructure. WLSI 2015. Lecture Notes in Computer Science(), vol 9442. Springer, Cham. https://doi.org/10.1007/978-3-319-31468-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-31468-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31467-9

  • Online ISBN: 978-3-319-31468-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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