Emotion detection in text: a review A Seyeditabari, N Tabari, W Zadrozny arXiv preprint arXiv:1806.00674, 2018 | 76 | 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 | 28 | 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 | 18 | 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 | 18 | 2019 |
Emotion detection in text: focusing on latent representation A Seyeditabari, N Tabari, S Gholizadeh, W Zadrozny arXiv preprint arXiv:1907.09369, 2019 | 14 | 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 | 11 | 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 | 7 | 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 | 4 | 2019 |
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 | | 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, N Tabari, B Chen, V Gupta, Y Guo arXiv preprint arXiv:2205.12368, 2022 | | 2022 |