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BolLy: Annotation of Sentiment Polarity in Bollywood Lyrics Dataset

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Computational Linguistics (PACLING 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 781))

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Abstract

This work presents a corpus of Bollywood song lyrics and its metadata, annotated with sentiment polarity. We call this BolLy. It contains lyrics of 1055 songs ranging from those composed in the year 1970 to the most recent ones. This dataset is of utmost value as all the annotation is done manually by three annotators and this makes it a very rich dataset for training purposes. In this work, we describe the creation and annotation process, content, and the possible uses of the dataset. As an experiment, we have built a basic classification system to identify the emotion polarity of the song based solely on the lyrics and this can be used as a baseline algorithm for the same. BolLy can also be used for studying code-mixing with respect to lyrics.

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Authors and Affiliations

  1. NLP-MT Lab, KCIS, IIIT-Hyderabad, Hyderabad, India

    G. Drushti Apoorva & Radhika Mamidi

Authors
  1. G. Drushti Apoorva
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  2. Radhika Mamidi
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Correspondence to Radhika Mamidi .

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Editors and Affiliations

  1. Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan

    Kôiti Hasida

  2. Natural Language Processing Lab, University of Computer Studies, Yangon, Yangon, Myanmar

    Win Pa Pa

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Apoorva, G.D., Mamidi, R. (2018). BolLy: Annotation of Sentiment Polarity in Bollywood Lyrics Dataset. In: Hasida, K., Pa, W. (eds) Computational Linguistics. PACLING 2017. Communications in Computer and Information Science, vol 781. Springer, Singapore. https://doi.org/10.1007/978-981-10-8438-6_4

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  • DOI: https://doi.org/10.1007/978-981-10-8438-6_4

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8437-9

  • Online ISBN: 978-981-10-8438-6

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