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An approach to predict emotional state using printed document

Mohit Kumavat1 , Amrita Kumbhar2 , S.V. Kedar3 , Suraj Menon4 , Vineet Prasad5 , Omkar Parit6

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 521-524, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.521524

Online published on Jun 30, 2018

Copyright © Mohit Kumavat, Amrita Kumbhar, S.V. Kedar, Suraj Menon, Vineet Prasad, Omkar Parit . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Mohit Kumavat, Amrita Kumbhar, S.V. Kedar, Suraj Menon, Vineet Prasad, Omkar Parit, “An approach to predict emotional state using printed document,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.521-524, 2018.

MLA Style Citation: Mohit Kumavat, Amrita Kumbhar, S.V. Kedar, Suraj Menon, Vineet Prasad, Omkar Parit "An approach to predict emotional state using printed document." International Journal of Computer Sciences and Engineering 6.6 (2018): 521-524.

APA Style Citation: Mohit Kumavat, Amrita Kumbhar, S.V. Kedar, Suraj Menon, Vineet Prasad, Omkar Parit, (2018). An approach to predict emotional state using printed document. International Journal of Computer Sciences and Engineering, 6(6), 521-524.

BibTex Style Citation:
@article{Kumavat_2018,
author = {Mohit Kumavat, Amrita Kumbhar, S.V. Kedar, Suraj Menon, Vineet Prasad, Omkar Parit},
title = {An approach to predict emotional state using printed document},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {521-524},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2215},
doi = {https://doi.org/10.26438/ijcse/v6i6.521524}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.521524}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2215
TI - An approach to predict emotional state using printed document
T2 - International Journal of Computer Sciences and Engineering
AU - Mohit Kumavat, Amrita Kumbhar, S.V. Kedar, Suraj Menon, Vineet Prasad, Omkar Parit
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 521-524
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

An emotion is a strong feeling deriving from one`s mood, circumstance, or relationships with others. They include the perception, response and interpretation of the feelings related to the experience of any specific situation. Emotions are the ones which connect the feelings, actions and thoughts. When we interact with other people, it is important to give cues to help them understand how we are feeling. Text analysis is one of the techniques, which helps us to understand a subject in a proper way through keywords used by him/her. By studying the keywords, we can paint a picture of the writer’s emotional fears, honesty, outlays, mental state and many other personality characteristics. In this paper we aim to analyze the keywords to determine the person’s emotion levels by using the keyword based method for emotion recognition.This will help to identify people with stress and depression and the ones who need counseling to come out of such emotions.

Key-Words / Index Term

Emotions , Emotion recognition, Text, Keywords, Optical Character Recognition

References

[1] Prof. S.V. Kedar, Dr. D. S. Bormane , “Automatic Emotion Recognition: A Systematic Review” , IETE, India, 2016.
[2] Shiv Naresh Shivhare, Shakun Garg, Anitesh Mishra, “Emotion Finder: Detecting Emotion From Blogs and Textual Documents” , International Conference on Computing, Communication and Automation, India, 2015.
[3] Edward Chao-Chun Kao, Ting-Hao Yang, Chang-Tai Hsieh, Von-Wun Soo, ”Towards Text-based Emotion Detection A Survey and Possible Improvements ”, International Conference on Information Management and Engineering, Taiwan, 2009.
[4] C.-H. Wu, Z.-J. Chuang and Y.-C. Lin, “Emotion Recognition from Text Using Semantic Labels and Separable Mixture Models,” ACM Transactions on Asian Language Information Processing (TALIP), vol. 5, issue 2, pp. 165-183, 2006.
[5] Sheeba Grover , Dr. Amandeep Verma, “Design for Emotion Detection of Punjabi Text using Hybrid Approach”, India
[6] D. S´anchez, M.J. Mart´ın-Bautista, I. Blanco, “Text Knowledge Mining: An Alternative to Text Data Mining”, in IEEE International Conference on Data Mining Workshops, 2008.
[7] Shiv Naresh Shivhare, Saritha Khethawat, “Emotion Detection from Text”, Second International Conference on Computer Science, Engineering and Applications (CCSEA-2012), India, 2012, ISBN: 978-1-921987-03-8.
[8] R. Cowie, E. Douglas-Cowie, N. Tsapatsoulis, G. Votsis, S. Kollias, “Recognition of Emotional States in Natural human-computer interaction,” in IEEE Signal Processing Magazine, vol. 18(1), 2009.