| Title | Text Analysis for Decision Making Under Adversarial Environments |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Kotinas, Ilias, Fakotakis, Nikos |
| Conference Name | Proceedings of the 10th Hellenic Conference on Artificial Intelligence |
| Publisher | ACM |
| ISBN Number | 978-1-4503-6433-1 |
| Keywords | adversarial learning, composability, decision support, human factors, Metrics, pubcrawl, Scalability, sentiment analysis, social media, text analytics |
| Abstract | Sentiment analysis and other practices for text analytics on social media rely on publicly available and editable collections of data for training and evaluation. These data collections are subject to poisoning and data contamination attacks by adversaries having an interest in misleading the results of the performed analysis. We present the problem of adversarial text mining with a focus on decision making and we suggest cross-discipline, cross-application and cross-model strategies for more robust analyses. Our approach is practitioner-centric and is based on broadly-used interpretable models with applications in decision making. |
| DOI | 10.1145/3200947.3201018 |
| Citation Key | kotinas_text_2018 |
Text Analysis for Decision Making Under Adversarial Environments