IDEAS home Printed from https://ideas.repec.org/a/igg/jse000/v10y2019i2p18-38.html
   My bibliography  Save this article

Analyzing Tagore's Emotion With the Passage of Time in Song-Offerings: A Philosophical Study Based on Computational Intelligence

Author

Listed:
  • Sirshendu Hore

    (Hooghly Engineering and Technology College, Chinsurah, India)

  • Tanmay Bhattacharya

    (Techno India Saltlake, Kolkata, India)

Abstract

The emotions of humans can be observed through tears, smiles, etc. The emotion of poets is reflected through poetry/songs. The works of a poet give philosophical insights about the beauty and mystery of nature, socio-economic conditions of that era, besides his personal state of mind. In the proposed work ‘Song- Offerings': A collection of poems and songs composed by Rabindranath Tagore, for which, Tagore received the Nobel Prize for literature in 1913, has been analyzed. Earlier, most of the research work on Song-Offerings was based on Zipf's law or bibliometric laws. This article analyzes the changes in Tagore's emotion in Song-Offerings with the passage of time (1895-1912). Emotions are analyzed based on the Arousal-Valence Model. To analyze the arousal state, ‘Plutchik's' emotion model has been employed and to find the valence, a Fuzzy-based model has been engaged. The work reveals that the emotions of the poet gradually mellows with the passage of time barring some transitional time, nevertheless, poet submission towards almighty remains unchanged during this period.

Suggested Citation

  • Sirshendu Hore & Tanmay Bhattacharya, 2019. "Analyzing Tagore's Emotion With the Passage of Time in Song-Offerings: A Philosophical Study Based on Computational Intelligence," International Journal of Synthetic Emotions (IJSE), IGI Global, vol. 10(2), pages 18-38, July.
    • Handle: RePEc:igg:jse000:v:10:y:2019:i:2:p:18-38
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSE.2019070102
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jse000:v:10:y:2019:i:2:p:18-38. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.