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Reseach Article

Emotion Extraction: Machine Learning for Text-based Emotion

Published on May 2012 by Swati D. Bhutekar, Manoj. B. Chandak, A. J. Agrawal
National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 1
May 2012
Authors: Swati D. Bhutekar, Manoj. B. Chandak, A. J. Agrawal
8608fa10-48d6-4564-a47a-56fa63ccc2b4

Swati D. Bhutekar, Manoj. B. Chandak, A. J. Agrawal . Emotion Extraction: Machine Learning for Text-based Emotion. National Conference on Recent Trends in Computing. NCRTC, 1 (May 2012), 20-23.

@article{
author = { Swati D. Bhutekar, Manoj. B. Chandak, A. J. Agrawal },
title = { Emotion Extraction: Machine Learning for Text-based Emotion },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 1 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 20-23 },
numpages = 4,
url = { /proceedings/ncrtc/number1/6515-1005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Swati D. Bhutekar
%A Manoj. B. Chandak
%A A. J. Agrawal
%T Emotion Extraction: Machine Learning for Text-based Emotion
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 1
%P 20-23
%D 2012
%I International Journal of Computer Applications
Abstract

This paper presents an machine learning approach as classification concept will be needed to emotion recognition from textual content. This paper also focuses on Emotion engine available, Corpus needed , textual emotion recognition module etc. In text analysis, all emotional keywords and emotion modification words are manually defined. The emotion intensity levels of emotional keywords and emotion modification words are estimated based on a collected emotion corpus. The final emotional state is determined based on the emotion outputs from the acoustic and textual analyses.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Emotion Machine Learning Cognitive Styles