Следене
Md Shad Akhtar
Md Shad Akhtar
Потвърден имейл адрес: iiitd.ac.in
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Позовавания
Позовавания
Година
Fighting an infodemic: Covid-19 fake news dataset
P Patwa, S Sharma, S Pykl, V Guptha, G Kumari, MS Akhtar, A Ekbal, ...
Combating Online Hostile Posts in Regional Languages during Emergency …, 2021
4402021
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
2462020
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
2272017
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
2212019
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
2032018
A Hybrid Deep Learning Architecture for Sentiment Analysis
MS Akhtar, A Kumar, A Ekbal, P Bhattacharyya
COLING 2016, 2016
1642016
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
144*2019
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, ...
Combating Online Hostile Posts in Regional Languages during Emergency …, 2021
1242021
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
1222017
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
1192021
Multi-task learning for aspect term extraction and aspect sentiment classification
MS Akhtar, T Garg, A Ekbal
Neurocomputing 398, 247-256, 2020
1172020
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
1152018
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
1102016
Detecting harmful memes and their targets
S Pramanick, D Dimitrov, R Mukherjee, S Sharma, MS Akhtar, P Nakov, ...
arXiv preprint arXiv:2110.00413, 2021
1012021
Multi-modal sarcasm detection and humor classification in code-mixed conversations
M Bedi, S Kumar, MS Akhtar, T Chakraborty
IEEE Transactions on Affective Computing 14 (2), 1363-1375, 2021
912021
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
842019
Hostility detection dataset in Hindi
M Bhardwaj, MS Akhtar, A Ekbal, A Das, T Chakraborty
arXiv preprint arXiv:2011.03588, 2020
732020
Detecting and understanding harmful memes: A survey
S Sharma, F Alam, MS Akhtar, D Dimitrov, GDS Martino, H Firooz, ...
arXiv preprint arXiv:2205.04274, 2022
602022
Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi
MS Akhtar, A Ekbal, P Bhattacharyya
CICLING 2016, 2016
522016
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
432018
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