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An Attention-Based Mood Controlling Framework for Social Media Users

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Brain Informatics (BI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12960))

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Abstract

In this digital age, social media is an essential part of life. People share their moments and emotions through it. Consequently, detecting emotions in their behavior can be an effective way to determine their emotional disposition, which can then be used to control their negative thinking by making them see the positive aspects of the world. This study proposes an emotion detection-based mood control framework that reorganizes social media posts to match the user’s mental state. An emotion detection model based on Attention mechanism, Bidirectional Long Short Term Memory (LSTM), and Convolutional Neural Network (CNN) has been proposed which can detect six emotions from Bangla text with 66.98% accuracy. It also demonstrates how emotion detection frameworks can be implemented in other languages as well.

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Acknowledgement

This research received funding from the ICT division of the Government of the People’s Republic of Bangladesh for 2020-21 financial year (tracking no: 20FS13595).

Author information

Authors and Affiliations

  1. Bangladesh University of Professionals, Dhaka, Bangladesh

    Tapotosh Ghosh, Md. Hasan Al Banna, Tazkia Mim Angona, Md. Jaber Al Nahian & Mohammed Nasir Uddin

  2. Jahangirnagar University, Savar, Dhaka, Bangladesh

    M. Shamim Kaiser

  3. Nottingham Trent University, Clifton Campus, Nottingham, NG11 8NS, UK

    Mufti Mahmud

Authors
  1. Tapotosh Ghosh
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  2. Md. Hasan Al Banna
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  3. Tazkia Mim Angona
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  4. Md. Jaber Al Nahian
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  5. Mohammed Nasir Uddin
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  6. M. Shamim Kaiser
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  7. Mufti Mahmud
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Editor information

Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  2. Jahangirnagar University, Dhaka, Bangladesh

    M Shamim Kaiser

  3. University of Padua, Padua, Italy

    Stefano Vassanelli

  4. Tsinghua University, Beijing, China

    Qionghai Dai

  5. Maebashi Institute of Technology, Maebashi, Japan

    Ning Zhong

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Ghosh, T. et al. (2021). An Attention-Based Mood Controlling Framework for Social Media Users. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_23

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  • DOI: https://doi.org/10.1007/978-3-030-86993-9_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86992-2

  • Online ISBN: 978-3-030-86993-9

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