| Automatic sarcasm detection: A survey A Joshi, P Bhattacharyya, MJ Carman ACM Computing Surveys (CSUR) 50 (5), 1-22, 2017 | 617 | 2017 |
| Harnessing context incongruity for sarcasm detection A Joshi, V Sharma, P Bhattacharyya Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 447 | 2015 |
| The iit bombay english-hindi parallel corpus A Kunchukuttan, P Mehta, P Bhattacharyya proceedings of the eleventh international conference on language resources …, 2018 | 330 | 2018 |
| Multi-task learning for multi-modal emotion recognition and sentiment analysis MS Akhtar, D Chauhan, D Ghosal, S Poria, A Ekbal, P Bhattacharyya Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 268 | 2019 |
| A fall-back strategy for sentiment analysis in hindi: a case study A Joshi, AR Balamurali, P Bhattacharyya Proceedings of the 8th ICON, 2010 | 254 | 2010 |
| 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 | 252 | 2017 |
| 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 | 250 | 2018 |
| Relation extraction: A survey S Pawar, GK Palshikar, P Bhattacharyya arXiv preprint arXiv:1712.05191, 2017 | 245 | 2017 |
| Interlingua-based English–Hindi machine translation and language divergence S Dave, J Parikh, P Bhattacharyya Machine Translation 16 (4), 251-304, 2001 | 226 | 2001 |
| Are word embedding-based features useful for sarcasm detection? A Joshi, V Tripathi, K Patel, P Bhattacharyya, M Carman arXiv preprint arXiv:1610.00883, 2016 | 221 | 2016 |
| Feature specific sentiment analysis for product reviews S Mukherjee, P Bhattacharyya International conference on intelligent text processing and computational …, 2012 | 191 | 2012 |
| Extracting decision trees from trained neural networks R Krishnan, G Sivakumar, P Bhattacharya Pattern recognition 32 (12), 1999 | 190 | 1999 |
| Sentiment and emotion help sarcasm? A multi-task learning framework for multi-modal sarcasm, sentiment and emotion analysis DS Chauhan, SR Dhanush, A Ekbal, P Bhattacharyya Proceedings of the 58th annual meeting of the association for computational …, 2020 | 180 | 2020 |
| A hybrid deep learning architecture for sentiment analysis MS Akhtar, A Kumar, A Ekbal, P Bhattacharyya Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 180 | 2016 |
| ScienceQA: a novel resource for question answering on scholarly articles T Saikh, T Ghosal, A Mittal, A Ekbal, P Bhattacharyya International Journal on Digital Libraries 23 (3), 289-301, 2022 | 177 | 2022 |
| An experience in building the indo wordnet-a wordnet for hindi D Narayan, D Chakrabarti, P Pande, P Bhattacharyya First international conference on global WordNet, Mysore, India 24, 2002 | 160 | 2002 |
| Sentiment analysis in twitter with lightweight discourse analysis S Mukherjee, P Bhattacharyya Proceedings of COLING 2012, 1847-1864, 2012 | 152 | 2012 |
| 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 13 (1), 285-297, 2019 | 135 | 2019 |
| 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 | 134 | 2017 |
| A deep ensemble framework for fake news detection and classification A Roy, K Basak, A Ekbal, P Bhattacharyya arXiv preprint arXiv:1811.04670, 2018 | 133 | 2018 |
