Farig Sadeque, Stephen Rains, Yotam Shmargad, Kate Kenski, Kevin Coe, and Steven Bethard. 2019. “Incivility Detection in Online Comments.” In Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), Pp. 283–291. Minneapolis, Minnesota: Association for Computational Linguistics. Publisher's VersionAbstract
Incivility in public discourse has been a major concern in recent times as it can affect the quality and tenacity of the discourse negatively. In this paper, we present neural models that can learn to detect name-calling and vulgarity from a newspaper comment section. We show that in contrast to prior work on detecting toxic language, fine-grained incivilities like namecalling cannot be accurately detected by simple models like logistic regression. We apply the models trained on the newspaper comments data to detect uncivil comments in a Russian troll dataset, and find that despite the change of domain, the model makes accurate predictions.
Farig Sadeque and Steven Bethard. 2019. “Predicting engagement in online social networks: Challenges and opportunities”.
Farig Yousuf Sadeque. 2019. “User Behavior in Social Media: Engagement, Incivility and Depression”.
Farig Sadeque, Dongfang Xu, and Steven Bethard. 2018. “Measuring the Latency of Depression Detection in Social Media.” In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, Pp. 495–503. New York, NY, USA: ACM. Publisher's Version
Vikas Yadav, Farig Sadeque, Bryan Heidorn, and Hong Cui. 2018. “Where Are iSchools Heading?” In Transforming Digital Worlds, edited by Gobinda Chowdhury, Julie McLeod, Val Gillet, and Peter Willett, Pp. 665–670. Cham: Springer International Publishing.Abstract
iSchools are highly interdisciplinary in nature - hence the direction and vision of iSchools have attracted researchers from various disciplines in recent times. In this paper, we analyzed the contents of the courses offered by 22 iSchools from different parts of the world. Our system extracts information from the course descriptions offered by different iSchools and visualizes the current trend of offering more courses with substantially more emphasis on computation than other paradigms. The architecture of our system is simple yet powerful - which may encourage others to implement similar techniques in different iSchool-related research.
Farig Sadeque, Dongfang Xu, and Steven Bethard. 2017. “Uarizona at the CLEF erisk 2017 pilot task: Linear and recurrent models for early depression detection.” In CEUR workshop proceedings. Vol. 1866. NIH Public Access.
Prasha Shrestha, Nicolas Rey-Villamizar, Farig Sadeque, Ted Pedersen, Steven Bethard, and Thamar Solorio. 2016. “Age and Gender Prediction on Health Forum Data.” In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), Pp. 3394–3401. Portoroż, Slovenia: European Language Resources Association (ELRA). Publisher's VersionAbstract
Health support forums have become a rich source of data that can be used to improve health care outcomes. A user profile, including information such as age and gender, can support targeted analysis of forum data. But users might not always disclose their age and gender. It is desirable then to be able to automatically extract this information from users' content. However, to the best of our knowledge there is no such resource for author profiling of health forum data. Here we present a large corpus, with close to 85,000 users, for profiling and also outline our approach and benchmark results to automatically detect a user's age and gender from their forum posts. We use a mix of features from a user's text as well as forum specific features to obtain accuracy well above the baseline, thus showing that both our dataset and our method are useful and valid.
Nicolas Rey-Villamizar, Prasha Shrestha, Farig Sadeque, Steven Bethard, Ted Pedersen, Arjun Mukherjee, and Thamar Solorio. 2016. “Analysis of anxious word usage on online health forums.” In Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, Pp. 37–42.
Nicolas Rey-Villamizar, Prasha Shrestha, Thamar Solorio, Farig Sadeque, Steven Bethard, and Ted Pedersen. 2016. “Semi-supervised CLPsych 2016 Shared Task System Submission.” In Proceedings of the Third Workshop on Computational Linguistics and Clinical Psychology, Pp. 171–175.
Farig Sadeque, Ted Pedersen, Thamar Solorio, Prasha Shrestha, Nicolas Rey-Villamizar, and Steven Bethard. 2016. “Why do they leave: Modeling participation in online depression forums.” In Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, Pp. 14–19.
Farig Sadeque, Thamar Solorio, Ted Pedersen, Prasha Shrestha, and Steven Bethard. 2015. “Predicting continued participation in online health forums.” In Proceedings of the Sixth International Workshop on Health Text Mining and Information Analysis, Pp. 12–20.
F. Y. Sadeque, S. Yasar, and M. M. Islam. 2013. “Bangla text to speech conversion: A syllabic unit selection approach.” In 2013 International Conference on Informatics, Electronics and Vision (ICIEV), Pp. 1-6.