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 | 151 | 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 | 142 | 2017 |
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 | 116 | 2021 |
A Hybrid Deep Learning Architecture for Sentiment Analysis MS Akhtar, A Kumar, A Ekbal, P Bhattacharyya COLING 2016, 2016 | 90 | 2016 |
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 | 75 | 2018 |
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 | 71 | 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 | 69 | 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 | 66 | 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 | 65* | 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, ... International Workshop on Combating On line Ho st ile Posts in Regional …, 2021 | 64 | 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 | 61 | 2017 |
Multi-task learning for aspect term extraction and aspect sentiment classification MS Akhtar, T Garg, A Ekbal Neurocomputing 398, 247-256, 2020 | 45 | 2020 |
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 | 31 | 2019 |
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 | 30 | 2017 |
Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi MS Akhtar, A Ekbal, P Bhattacharyya CICLING 2016, 2016 | 25 | 2016 |
Hostility detection dataset in Hindi M Bhardwaj, MS Akhtar, A Ekbal, A Das, T Chakraborty arXiv preprint arXiv:2011.03588, 2020 | 24 | 2020 |
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 | 24 | 2018 |
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 | 19 | 2017 |
Iitp: Hybrid approach for text normalization in twitter MS Akhtar, UK Sikdar, A Ekbal Proceedings of the Workshop on Noisy User-generated Text, 106-110, 2015 | 18 | 2015 |
Detecting harmful memes and their targets S Pramanick, D Dimitrov, R Mukherjee, S Sharma, M Akhtar, P Nakov, ... arXiv preprint arXiv:2110.00413, 2021 | 17 | 2021 |