Sentiment Analysis Using Fuzzy Logic

Bhansali, Kashyap; Doshi, Amit; Kurup, Lakshmi

This manuscript is removed due to copyright infringement made by the author(s)

Volume 8, Issue 4, October 2014, Pages 1645–1652

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@article{IJIAS-14-250-01,
author = {Kashyap Bhansali and Amit Doshi and Lakshmi Kurup},
title = {{Sentiment Analysis Using Fuzzy Logic}},
journal = {International Journal of Innovation and Applied Studies},
volume = {8},
year = {2014},
pages = {1645--1652},
issue = {4},
number = {4},
issn = {2028-9324},
url = {http://www.ijias.issr-journals.org/abstract.php?article=IJIAS-14-250-01},
abstract_html_url = {http://www.ijias.issr-journals.org/abstract.php?article=IJIAS-14-250-01},
pdf_url = {http://www.issr-journals.org/links/papers.php?journal=ijias&application=pdf&article=IJIAS-14-250-01},
document_type={Article},
source={www.issr-journals.org}
}

TY  - JOUR
ID  - 
TI  - Sentiment Analysis Using Fuzzy Logic
AU  - Kashyap Bhansali
AU  - Amit Doshi
AU  - Lakshmi Kurup
PY  - 2014
VL  - 8
IS  - 4
SP  - 1645
EP  - 1652
JO  - International Journal of Innovation and Applied Studies
T2  - International Journal of Innovation and Applied Studies
SN  - 20289324
UR  - http://www.ijias.issr-journals.org/abstract.php?article=IJIAS-14-250-01
AB  - This work studies how people describe emotions with language and how computers can simulate this descriptive behavior. To capture these intuitions about how people describe emotions, we study two models that use interval type-2 interval fuzzy sets (IT2 FSs) for representing the meaning of emotion word is represented by IT2 FSs on valence, activation and dominance scales. In the second model, the meaning of emotion words is represented by answers to an open ended set of questions from the game of Emotion Twenty Questions (EMO20Q). The notion of meaning in the two proposed models is made explicit using the Fregean framework of extensional and intensional components of meaning. Inter- and Intra-subject uncertainty is captured using IT2 FSs learned from internal approach surveys. Similarity and subsethood measures are used for task of translating one emotional vocabulary. The experimental data collected include dialogs between humans and computers and web-based surveys, both using crowd-sourcing on Amazon Mechanical Turk. For future work, we propose a research agenda that includes a continuation of work on the emotion domain as well as new work on other domains where subjective descriptions are established through natural language communication.
ER  -

TY  - JOUR
ID  - 
TI  - Sentiment Analysis Using Fuzzy Logic
AU  - Kashyap Bhansali
AU  - Amit Doshi
AU  - Lakshmi Kurup
PY  - 2014
VL  - 8
IS  - 4
SP  - 1645
EP  - 1652
JO  - International Journal of Innovation and Applied Studies
SN  - 20289324
AB  - 
This work studies how people describe emotions with language and how computers can simulate this descriptive behavior. To capture these intuitions about how people describe emotions, we study two models that use interval type-2 interval fuzzy sets (IT2 FSs) for representing the meaning of emotion word is represented by IT2 FSs on valence, activation and dominance scales. In the second model, the meaning of emotion words is represented by answers to an open ended set of questions from the game of Emotion Twenty Questions (EMO20Q). The notion of meaning in the two proposed models is made explicit using the Fregean framework of extensional and intensional components of meaning. Inter- and Intra-subject uncertainty is captured using IT2 FSs learned from internal approach surveys. Similarity and subsethood measures are used for task of translating one emotional vocabulary. The experimental data collected include dialogs between humans and computers and web-based surveys, both using crowd-sourcing on Amazon Mechanical Turk. For future work, we propose a research agenda that includes a continuation of work on the emotion domain as well as new work on other domains where subjective descriptions are established through natural language communication.
ER  -

RT Journal Article
ID IJIAS-14-250-01
A1 Kashyap Bhansali
A1 Amit Doshi
A1 Lakshmi Kurup
YR 2014
T1 Sentiment Analysis Using Fuzzy Logic
JF International Journal of Innovation and Applied Studies

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Kashyap Bhansali¹, Amit Doshi², and Lakshmi Kurup³

¹ Computer Department, DJSCOE, University of Mumbai, Mumbai, Maharashtra, India
² Computer Department, DJSCOE, University of Mumbai, Mumbai, Maharashtra, India
³ Computer Department, DJSCOE, University of Mumbai, Mumbai, Maharashtra, India

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Sentiment Analysis Using Fuzzy Logic