@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",
}