| Emotion detection in text: a review A Seyeditabari, N Tabari, W Zadrozny arXiv preprint arXiv:1806.00674, 2018 | 107 | 2018 |
| Causality analysis of Twitter sentiments and stock market returns N Tabari, P Biswas, B Praneeth, A Seyeditabari, M Hadzikadic, ... Proceedings of the first workshop on economics and natural language …, 2018 | 40 | 2018 |
| Emotional embeddings: Refining word embeddings to capture emotional content of words A Seyeditabari, N Tabari, S Gholizade, W Zadrozny arXiv preprint arXiv:1906.00112, 2019 | 23 | 2019 |
| A comparison of neural network methods for accurate sentiment analysis of stock market tweets N Tabari, A Seyeditabari, T Peddi, M Hadzikadic, W Zadrozny ECML PKDD 2018 Workshops: MIDAS 2018 and PAP 2018, Dublin, Ireland …, 2019 | 23 | 2019 |
| Emotion detection in text: focusing on latent representation A Seyeditabari, N Tabari, S Gholizadeh, W Zadrozny arXiv preprint arXiv:1907.09369, 2019 | 22 | 2019 |
| UVA wahoos at SemEval-2019 task 6: Hate speech identification using ensemble machine learning M Ramakrishnan, W Zadrozny, N Tabari Proceedings of the 13th International Workshop on Semantic Evaluation, 806-811, 2019 | 12 | 2019 |
| SentiHeros at SemEval-2017 Task 5: an application of sentiment analysis on financial tweets N Tabari, A Seyeditabari, W Zadrozny Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017 | 8 | 2017 |
| Context sensitive sentiment analysis of financial tweets: a new dictionary N Tabari, M Hadzikadic Intelligent Methods and Big Data in Industrial Applications, 367-374, 2019 | 5 | 2019 |
| Emotion detection in text: A review. arXiv 2018 A Seyeditabari, N Tabari, W Zadrozny arXiv preprint arXiv:1806.00674, 0 | 5 | |
| Contextual dynamic prompting for response generation in task-oriented dialog systems S Swamy, N Tabari, C Chen, R Gangadharaiah arXiv preprint arXiv:2301.13268, 2023 | 4 | 2023 |
| Medical scientific table-to-text generation with human-in-the-loop under the data sparsity constraint HY Wu, J Zhang, J Ive, T Li, V Gupta, B Chen, Y Guo arXiv preprint arXiv:2205.12368, 2022 | 1 | 2022 |
| Predicting next actions by users of networked services FL Narjessadat Seyeditabari, Vinayshekhar Bannihatti Kumar, Rashmi ... US Patent US11997177B1, 2024 | | 2024 |
| Generating personas of users of networked services based on activities FL Narjessadat Seyeditabari, Vinayshekhar Bannihatti Kumar, Rashmi ... US Patent US11863643B1, 2024 | | 2024 |
| User Persona Identification and New Service Adaptation Recommendation N Tabari, S Swamy, R Gangadharaiah arXiv preprint arXiv:2311.10773, 2023 | | 2023 |
| Investigating the Causal Link between the Stock Market and Twitter Sentiments Using Causality Models and Deep Learning Methods N Seyeditabari The University of North Carolina at Charlotte, 2018 | | 2018 |
Wlodek ZadroznyProf. UNC Charlotte; previously IBM Research在 uncc.edu 的电子邮件经过验证
