An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers
Abstract
In this demo paper, we present SARE, a modular and extendable semi-automatic system that 1) assists researchers in building gold-standard lexicons and evaluating their lexicon extraction algorithms; and 2) provides a general and extendable sentiment analysis environment to help researchers analyze the behavior and errors of a core sentiment analysis engine using a particular lexicon.
Cite
Text
Husaini et al. "An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2012. doi:10.1007/978-3-642-33486-3_51Markdown
[Husaini et al. "An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2012.](https://mlanthology.org/ecmlpkdd/2012/husaini2012ecmlpkdd-aspectlexicon/) doi:10.1007/978-3-642-33486-3_51BibTeX
@inproceedings{husaini2012ecmlpkdd-aspectlexicon,
title = {{An Aspect-Lexicon Creation and Evaluation Tool for Sentiment Analysis Researchers}},
author = {Husaini, Mus'ab and Koçyigit, Ahmet and Tapucu, Dilek and Yanikoglu, Berrin A. and Saygin, Yücel},
booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
year = {2012},
pages = {804-807},
doi = {10.1007/978-3-642-33486-3_51},
url = {https://mlanthology.org/ecmlpkdd/2012/husaini2012ecmlpkdd-aspectlexicon/}
}