On the effectiveness of emotion extraction techniques

Yashar Moshfeghi; Joemon M. Jose

On the effectiveness of emotion extraction techniques

Computer And Information Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

Abstract

Emotion is considered to be an important factor in human decision making and consciousness. Due to its perceived importance, recently a number of works try to explore emotion in IR tasks. However, the complexity of emotion extractors and lack of understanding on their effectiveness hinder the progress of such works. In this paper, we conduct a comparative study on the effectiveness of three emotion extractors. Our findings show a superior performance of an extractor based on OCC model.

Original language	English
Title of host publication	Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
Place of Publication	Paris, France
Pages	197-200
Number of pages	4
Publication status	Published - 2013

Publication series

Name	OAIR '13
Publisher	LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE

Keywords

information retrieval
emotion extraction

Access to Document

http://dl.acm.org/citation.cfm?id=2491748.2491788

Fingerprint Dive into the research topics of 'On the effectiveness of emotion extraction techniques'. Together they form a unique fingerprint.

Cite this

@inproceedings{292bf001be564ee5bc16037dbfada9fa,

title = "On the effectiveness of emotion extraction techniques",

abstract = "Emotion is considered to be an important factor in human decision making and consciousness. Due to its perceived importance, recently a number of works try to explore emotion in IR tasks. However, the complexity of emotion extractors and lack of understanding on their effectiveness hinder the progress of such works. In this paper, we conduct a comparative study on the effectiveness of three emotion extractors. Our findings show a superior performance of an extractor based on OCC model.",

keywords = "information retrieval, emotion extraction",

author = "Yashar Moshfeghi and Jose, {Joemon M.}",

year = "2013",

language = "English",

isbn = "978-2-905450-09-8",

series = "OAIR '13",

publisher = "LE CENTRE DE HAUTES ETUDES INTERNATIONALES D'INFORMATIQUE DOCUMENTAIRE",

pages = "197--200",

booktitle = "Proceedings of the 10th Conference on Open Research Areas in Information Retrieval",

}

TY - GEN

T1 - On the effectiveness of emotion extraction techniques

AU - Moshfeghi, Yashar

AU - Jose, Joemon M.

PY - 2013

Y1 - 2013

N2 - Emotion is considered to be an important factor in human decision making and consciousness. Due to its perceived importance, recently a number of works try to explore emotion in IR tasks. However, the complexity of emotion extractors and lack of understanding on their effectiveness hinder the progress of such works. In this paper, we conduct a comparative study on the effectiveness of three emotion extractors. Our findings show a superior performance of an extractor based on OCC model.

AB - Emotion is considered to be an important factor in human decision making and consciousness. Due to its perceived importance, recently a number of works try to explore emotion in IR tasks. However, the complexity of emotion extractors and lack of understanding on their effectiveness hinder the progress of such works. In this paper, we conduct a comparative study on the effectiveness of three emotion extractors. Our findings show a superior performance of an extractor based on OCC model.

KW - information retrieval

KW - emotion extraction

M3 - Conference contribution book

SN - 978-2-905450-09-8

T3 - OAIR '13

SP - 197

EP - 200

BT - Proceedings of the 10th Conference on Open Research Areas in Information Retrieval

CY - Paris, France

ER -