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Md Shad Akhtar
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How intense are you? Predicting intensities of emotions and sentiments using stacked ensemble [application notes]
MS Akhtar, A Ekbal, E Cambria
IEEE Computational Intelligence Magazine 15 (1), 64-75, 2020
1632020
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis
MS Akhtar, D Gupta, A Ekbal, P Bhattacharyya
Knowledge-Based Systems 125, 116-135, 2017
1552017
Fighting an infodemic: Covid-19 fake news dataset
P Patwa, S Sharma, S Pykl, V Guptha, G Kumari, MS Akhtar, A Ekbal, ...
International Workshop on Combating On line Ho st ile Posts in Regional …, 2021
1512021
A Hybrid Deep Learning Architecture for Sentiment Analysis
MS Akhtar, A Kumar, A Ekbal, P Bhattacharyya
COLING 2016, 2016
952016
Contextual inter-modal attention for multi-modal sentiment analysis
D Ghosal, MS Akhtar, D Chauhan, S Poria, A Ekbal, P Bhattacharyya
proceedings of the 2018 conference on empirical methods in natural language …, 2018
822018
Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis
MS Akhtar, DS Chauhan, D Ghosal, S Poria, A Ekbal, P Bhattacharyya
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
732019
All-in-one: Emotion, sentiment and intensity prediction using a multi-task ensemble framework
MS Akhtar, D Ghosal, A Ekbal, P Bhattacharyya, S Kurohashi
IEEE Transactions on Affective Computing, 2019
72*2019
IARM: Inter-aspect relation modeling with memory networks in aspect-based sentiment analysis
N Majumder, S Poria, A Gelbukh, MS Akhtar, E Cambria, A Ekbal
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
722018
Overview of constraint 2021 shared tasks: Detecting english covid-19 fake news and hindi hostile posts
P Patwa, M Bhardwaj, V Guptha, G Kumari, S Sharma, S Pykl, A Das, ...
International Workshop on Combating On line Ho st ile Posts in Regional …, 2021
702021
Aspect based sentiment analysis in Hindi: resource creation and evaluation
MS Akhtar, A Ekbal, P Bhattacharyya
Proceedings of the Tenth International Conference on Language Resources and …, 2016
682016
A multilayer perceptron based ensemble technique for fine-grained financial sentiment analysis
MS Akhtar, A Kumar, D Ghosal, A Ekbal, P Bhattacharyya
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
662017
Multi-task learning for aspect term extraction and aspect sentiment classification
MS Akhtar, T Garg, A Ekbal
Neurocomputing 398, 247-256, 2020
532020
Context-aware interactive attention for multi-modal sentiment and emotion analysis
DS Chauhan, MS Akhtar, A Ekbal, P Bhattacharyya
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
392019
IITP at SemEval-2017 task 5: an ensemble of deep learning and feature based models for financial sentiment analysis
D Ghosal, S Bhatnagar, MS Akhtar, A Ekbal, P Bhattacharyya
Proceedings of the 11th international workshop on semantic evaluation …, 2017
292017
Solving data sparsity for aspect based sentiment analysis using cross-linguality and multi-linguality
MS Akhtar, P Sawant, S Sen, A Ekbal, P Bhattacharyya
Association for Computational Linguistics, 2018
282018
Hostility detection dataset in Hindi
M Bhardwaj, MS Akhtar, A Ekbal, A Das, T Chakraborty
arXiv preprint arXiv:2011.03588, 2020
272020
Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi
MS Akhtar, A Ekbal, P Bhattacharyya
CICLING 2016, 2016
262016
MOMENTA: A multimodal framework for detecting harmful memes and their targets
S Pramanick, S Sharma, D Dimitrov, MS Akhtar, P Nakov, T Chakraborty
arXiv preprint arXiv:2109.05184, 2021
212021
No, that never happened!! Investigating rumors on Twitter
MS Akhtar, A Ekbal, S Narayan, V Singh
IEEE Intelligent Systems 33 (5), 8-15, 2018
202018
IITP at SemEval-2017 Task 8: A supervised approach for rumour evaluation
V Singh, S Narayan, MS Akhtar, A Ekbal, P Bhattacharyya
Proceedings of the 11th International Workshop on Semantic Evaluation …, 2017
202017
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