| Real-time rumor debunking on twitter X Liu, A Nourbakhsh, Q Li, R Fang, S Shah Proceedings of the 24th ACM international on conference on information and …, 2015 | 367 | 2015 |
| Sentiment analysis of online news text: A case study of appraisal theory C Soo‐Guan Khoo, A Nourbakhsh, JC Na Online Information Review 36 (6), 858-878, 2012 | 114 | 2012 |
| Real-time novel event detection from social media Q Li, A Nourbakhsh, S Shah, X Liu 2017 IEEE 33Rd international conference on data engineering (ICDE), 1129-1139, 2017 | 70 | 2017 |
| Reuters tracer: A large scale system of detecting & verifying real-time news events from twitter X Liu, Q Li, A Nourbakhsh, R Fang, M Thomas, K Anderson, R Kociuba, ... Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 67 | 2016 |
| Data sets: Word embeddings learned from tweets and general data Q Li, S Shah, X Liu, A Nourbakhsh Proceedings of the International AAAI Conference on Web and Social Media 11 …, 2017 | 61 | 2017 |
| Reuters tracer: Toward automated news production using large scale social media data X Liu, A Nourbakhsh, Q Li, S Shah, R Martin, J Duprey 2017 IEEE International Conference on Big Data (Big Data), 1483-1493, 2017 | 59 | 2017 |
| Risk identification and risk register generation system and engine JL Leidner, T Nugent, A Nourbakhsh, S Shah US Patent App. 15/181,194, 2016 | 52 | 2016 |
| Tweet sentiment analysis by incorporating sentiment-specific word embedding and weighted text features Q Li, S Shah, R Fang, A Nourbakhsh, X Liu 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 568-571, 2016 | 49 | 2016 |
| Tweetsift: Tweet topic classification based on entity knowledge base and topic enhanced word embedding Q Li, S Shah, X Liu, A Nourbakhsh, R Fang Proceedings of the 25th ACM International on Conference on Information and …, 2016 | 45 | 2016 |
| Hashtag recommendation based on topic enhanced embedding, tweet entity data and learning to rank Q Li, S Shah, A Nourbakhsh, X Liu, R Fang Proceedings of the 25th ACM international on conference on information and …, 2016 | 29 | 2016 |
| Mapping ESG trends by distant supervision of neural language models N Raman, G Bang, A Nourbakhsh Machine Learning and Knowledge Extraction 2 (4), 453-468, 2020 | 26 | 2020 |
| An extensible event extraction system with cross-media event resolution F Petroni, N Raman, T Nugent, A Nourbakhsh, Ž Panić, S Shah, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 26 | 2018 |
| Witness identification in twitter R Fang, A Nourbakhsh, X Liu, S Shah, Q Li Proceedings of the fourth international workshop on natural language …, 2016 | 25 | 2016 |
| User behaviors in newsworthy rumors: A case study of twitter Q Li, X Liu, R Fang, A Nourbakhsh, S Shah Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016 | 25 | 2016 |
| Tweet topic classification using distributed language representations Q Li, S Shah, X Liu, A Nourbakhsh, R Fang 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 81-88, 2016 | 18 | 2016 |
| Systems and methods for cross-media event detection and coreferencing F Petroni, N Raman, A Nourbakhsh, T Nugent, L Carstens, J Duprey, ... US Patent 11,061,946, 2021 | 16 | 2021 |
| Social media events detection and verification S Shah, X Lu, Q Li, R Chua, A Nourbakhsh, Q Li, R Fang US Patent 10,109,023, 2018 | 16 | 2018 |
| Discovering relevant hashtags for health concepts: A case study of twitter Q Li, S Shah, R Fang, A Nourbakhsh, X Liu Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 15 | 2016 |
| Newsworthy rumor events: A case study of twitter A Nourbakhsh, X Liu, S Shah, R Fang, MM Ghassemi, Q Li 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 27-32, 2015 | 15 | 2015 |
| A framework for anomaly detection using language modeling, and its applications to finance A Nourbakhsh, G Bang arXiv preprint arXiv:1908.09156, 2019 | 13 | 2019 |
Sameena ShahManaging DirectorVerified email at jpmorgan.com
