2011
Dey, Debangana; Solorio, Thamar; Montes-y-Gómez, Manuel; Escalante, Hugo
Instance Selection based on the Silhouette Coefficient Measure for Text Classification Inproceedings
In: 10th Mexican International Conference on Artificial Intelligence, pp. 357–369, , %note = (acceptance rate 27.5,%), Puebla, Mexico, 2011.
BibTeX | Tags: Text Classification
@inproceedings{DeyEtAl:11,
title = {Instance Selection based on the Silhouette Coefficient Measure for Text Classification},
author = { Debangana Dey and Thamar Solorio and Manuel Montes-y-Gómez and Hugo Escalante},
year = {2011},
date = {2011-11-01},
booktitle = {10th Mexican International Conference on Artificial Intelligence},
pages = {357--369},
publisher = {, %note = (acceptance rate 27.5,%)},
address = {Puebla, Mexico},
keywords = {Text Classification},
pubstate = {published},
tppubtype = {inproceedings}
}
Solorio, Thamar; Pillay, Sangita; Raghavan, Sindhu; Montes-y-Gómez, Manuel
Modality Specific Metafeatures for Authorship Attribution on Web Forum Posts Inproceedings
In: 5th International Joint Conference on Natural Language Processing, IJCNLP 2011, pp. 156–164, AFNLP Chiang Mai, Thailand, 2011.
BibTeX | Tags: Authorship Attribution
@inproceedings{SolorioEtAl:11c,
title = {Modality Specific Metafeatures for Authorship Attribution on Web Forum Posts},
author = { Thamar Solorio and Sangita Pillay and Sindhu Raghavan and Manuel Montes-y-Gómez},
year = {2011},
date = {2011-11-01},
booktitle = {5th International Joint Conference on Natural Language Processing, IJCNLP 2011},
pages = {156--164},
address = {Chiang Mai, Thailand},
organization = {AFNLP},
keywords = {Authorship Attribution},
pubstate = {published},
tppubtype = {inproceedings}
}
Solorio, Thamar; Pillay, Sangita; Montes-y-Gómez, Manuel
Authorship Identification with Modality Specific Meta Features Inproceedings
In: Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2011) held in conjunction with the CLEF 2011 Conference on Multilingual and Multimodal Information Access Evaluation, Amsterdam, 2011.
BibTeX | Tags: Authorship Attribution, Security
@inproceedings{SolorioEtAl:11b,
title = {Authorship Identification with Modality Specific Meta Features},
author = { Thamar Solorio and Sangita Pillay and Manuel Montes-y-Gómez},
year = {2011},
date = {2011-09-01},
booktitle = {Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2011) held in conjunction with the CLEF 2011 Conference on Multilingual and Multimodal Information Access Evaluation},
address = {Amsterdam},
keywords = {Authorship Attribution, Security},
pubstate = {published},
tppubtype = {inproceedings}
}
Ramírez-de-la-Rosa, Gabriela; Solorio, Thamar; Montes-y-Gómez, Manuel; Liu, Yang; Bedore, Lisa; Peña, Elizabeth; Iglesias, Aquiles
Language dominance prediction in Spanish-English bilingual children using syntactic information: a first approximation Inproceedings
In: ICL Workshop on Iberian Cross-Language NLP tasks, Huelva, Spain, 2011.
BibTeX | Tags: Clinical Applications
@inproceedings{RamirezdelarosaEtAl:11,
title = {Language dominance prediction in Spanish-English bilingual children using syntactic information: a first approximation},
author = { Gabriela Ramírez-de-la-Rosa and Thamar Solorio and Manuel Montes-y-Gómez and Yang Liu and Lisa Bedore and Elizabeth Peña and Aquiles Iglesias},
year = {2011},
date = {2011-09-01},
booktitle = {ICL Workshop on Iberian Cross-Language NLP tasks},
address = {Huelva, Spain},
keywords = {Clinical Applications},
pubstate = {published},
tppubtype = {inproceedings}
}
Escalante, H. Jair; Solorio, Thamar; Montes-y-Gómez, Manuel
Local Histograms of Character n-grams for Authorship Attribution Inproceedings
In: Proceedings of the 49th Annual Meeting for the Association for Computational Linguistics: Human Language Technologies, pp. 288-298, ACL Portland, Oregon, 2011.
Links | BibTeX | Tags: Authorship Attribution, Security
@inproceedings{EscalanteEtAl:11a,
title = {Local Histograms of Character n-grams for Authorship Attribution},
author = { H. Jair Escalante and Thamar Solorio and Manuel Montes-y-Gómez},
url = {http://aclweb.org/anthology/P11-1030},
year = {2011},
date = {2011-06-01},
booktitle = {Proceedings of the 49th Annual Meeting for the Association for Computational Linguistics: Human Language Technologies},
pages = {288-298},
address = {Portland, Oregon},
organization = {ACL},
keywords = {Authorship Attribution, Security},
pubstate = {published},
tppubtype = {inproceedings}
}
0000
Suraj Maharjan Niloofar S. Samghabadi, Alan Sprague
Detecting Nastiness in Social Media Inproceedings
In: 0000.
BibTeX | Tags: Abusive Language detection, Text Classification
@inproceedings{Safi2017,
title = {Detecting Nastiness in Social Media},
author = {Niloofar S. Samghabadi, Suraj Maharjan, Alan Sprague, Raquel D. Sprague, Thamar Solorio},
keywords = {Abusive Language detection, Text Classification},
pubstate = {published},
tppubtype = {inproceedings}
}
Niloofar Safi Samghabadi Mahsa Shafaei, Sudipta Kar
arXiv, (Ed.): 0000.
Abstract | Links | BibTeX | Tags: Abusive Language detection, Text Classification
@online{Shafaei2019b,
title = {Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies},
author = {Mahsa Shafaei, Niloofar Safi Samghabadi, Sudipta Kar, Thamar Solorio},
editor = { arXiv},
url = {https://arxiv.org/abs/1908.07819},
abstract = {The film culture has grown tremendously in recent years. The large number of streaming services put films as one of the most convenient forms of entertainment in today's world. Films can help us learn and inspire societal change. But they can also negatively affect viewers. In this paper, our goal is to predict the suitability of the movie content for children and young adults based on scripts. The criterion that we use to measure suitability is the MPAA rating that is specifically designed for this purpose. We propose an RNN based architecture with attention that jointly models the genre and the emotions in the script to predict the MPAA rating. We achieve 78% weighted F1-score for the classification model that outperforms the traditional machine learning method by 6%.},
keywords = {Abusive Language detection, Text Classification},
pubstate = {published},
tppubtype = {online}
}
Shafaei, Mahsa; Samghabadi, Niloofar Safi; Kar, Sudipta; Solorio, Thamar
arXiv, (Ed.): 0000.
Abstract | Links | BibTeX | Tags: Abusive Language detection, Sentiment analysis, Text Classification
@online{Shafaei2019c,
title = {Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies},
author = {Mahsa Shafaei and Niloofar Safi Samghabadi and Sudipta Kar and Thamar Solorio},
editor = {arXiv},
url = {https://arxiv.org/abs/1908.07819},
abstract = {The film culture has grown tremendously in recent years. The large number of streaming services put films as one of the most convenient forms of entertainment in today's world. Films can help us learn and inspire societal change. But they can also negatively affect viewers. In this paper, our goal is to predict the suitability of the movie content for children and young adults based on scripts. The criterion that we use to measure suitability is the MPAA rating that is specifically designed for this purpose. We propose an RNN based architecture with attention that jointly models the genre and the emotions in the script to predict the MPAA rating. We achieve 78% weighted F1-score for the classification model that outperforms the traditional machine learning method by 6%.},
keywords = {Abusive Language detection, Sentiment analysis, Text Classification},
pubstate = {published},
tppubtype = {online}
}
RAZI, AFSANEH; KIM, SEUNGHYUN; SOUBAI, ASHWAQ; STRINGHINI, GIANLUCA; SOLORIO, THAMAR; CHODHURY, MUNMUN DE; WISNIEWSKI, PAMELA
A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection Journal Article
In: 0000.
BibTeX | Tags: Cyberpedophilia
@article{razi2021human,
title = {A Human-Centered Systematic Literature Review of the Computational Approaches for Online Sexual Risk Detection},
author = { AFSANEH RAZI and SEUNGHYUN KIM and ASHWAQ SOUBAI and GIANLUCA STRINGHINI and THAMAR SOLORIO and MUNMUN DE CHODHURY and PAMELA WISNIEWSKI},
keywords = {Cyberpedophilia},
pubstate = {published},
tppubtype = {article}
}