Narges Tabari
Narges Tabari
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Cited by
Cited by
Emotion detection in text: a review
A Seyeditabari, N Tabari, W Zadrozny
arXiv preprint arXiv:1806.00674, 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
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
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
Emotion detection in text: focusing on latent representation
A Seyeditabari, N Tabari, S Gholizadeh, W Zadrozny
arXiv preprint arXiv:1907.09369, 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
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
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
Emotion detection in text: A review. arXiv 2018
A Seyeditabari, N Tabari, W Zadrozny
arXiv preprint arXiv:1806.00674, 0
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
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
Generating personas of users of networked services based on activities
FL Narjessadat Seyeditabari, Vinayshekhar Bannihatti Kumar, Rashmi ...
US Patent US11863643B1, 2024
User Persona Identification and New Service Adaptation Recommendation
N Tabari, S Swamy, R Gangadharaiah
arXiv preprint arXiv:2311.10773, 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
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