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 | 440 | 2021 |
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 | 246 | 2020 |
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 | 227 | 2017 |
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 | 221 | 2019 |
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 | 203 | 2018 |
A Hybrid Deep Learning Architecture for Sentiment Analysis MS Akhtar, A Kumar, A Ekbal, P Bhattacharyya COLING 2016, 2016 | 164 | 2016 |
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 | 124 | 2021 |
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 | 122 | 2017 |
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 | 119 | 2021 |
Multi-task learning for aspect term extraction and aspect sentiment classification MS Akhtar, T Garg, A Ekbal Neurocomputing 398, 247-256, 2020 | 117 | 2020 |
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 | 115 | 2018 |
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 | 110 | 2016 |
Detecting harmful memes and their targets S Pramanick, D Dimitrov, R Mukherjee, S Sharma, MS Akhtar, P Nakov, ... arXiv preprint arXiv:2110.00413, 2021 | 101 | 2021 |
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 | 91 | 2021 |
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 | 84 | 2019 |
Hostility detection dataset in Hindi M Bhardwaj, MS Akhtar, A Ekbal, A Das, T Chakraborty arXiv preprint arXiv:2011.03588, 2020 | 73 | 2020 |
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 | 60 | 2022 |
Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi MS Akhtar, A Ekbal, P Bhattacharyya CICLING 2016, 2016 | 52 | 2016 |
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 | 43 | 2018 |