| 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 | 300 | 2015 |
| Stock prediction using event-based sentiment analysis M Makrehchi, S Shah, W Liao 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2013 | 111 | 2013 |
| Learning stock market sentiment lexicon and sentiment-oriented word vector from stocktwits Q Li, S Shah Proceedings of the 21st Conference on Computational Natural Language …, 2017 | 59 | 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 | 56 | 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 (1), 2017 | 51 | 2017 |
| 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 | 49 | 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 | 41 | 2017 |
| 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 | 37 | 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 | 37 | 2016 |
| System and method for determining and utilizing successful observed performance W Liao, M Makrehchi, S Shah US Patent 10,290,058, 2019 | 34 | 2019 |
| Risk identification and risk register generation system and engine JL Leidner, T Nugent, A Nourbakhsh, S Shah US Patent App. 15/181,194, 2016 | 33 | 2016 |
| eventAI at SemEval-2019 Task 7: Rumor Detection on Social Media by Exploiting Content, User Credibility and Propagation Information Q Li, Q Zhang, L Si Proceedings of the 13th International Workshop on Semantic Evaluation, 855-859, 2019 | 30 | 2019 |
| 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 | 28 | 2016 |
| Ants find the shortest path: a mathematical proof S Shah, A Bhaya, R Kothari, S Chandra Swarm Intelligence 7 (1), 43-62, 2013 | 27 | 2013 |
| Witness identification in twitter R Fang, A Nourbakhsh, X Liu, S Shah, Q Li Proceedings of the Fourth International Workshop on Natural Language …, 2016 | 22 | 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 (1), 2016 | 22 | 2016 |
| 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 | 19 | 2018 |
| 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 | 17 | 2016 |
| Winning by following the winners: Mining the behaviour of stock market experts in social media W Liao, S Shah, M Makrehchi International Conference on Social Computing, Behavioral-Cultural Modeling …, 2014 | 14 | 2014 |
| System and method for forming predictions using event-based sentiment analysis W Liao, M Makrehchi, S Shah US Patent App. 13/967,301, 2014 | 13* | 2014 |
Armineh NourbakhshResearch Director, AI Research, JP Morgan Chase & Co.Email verificata su jpmchase.com
