| Context-aware deep Markov random fields for fake news detection TH Do, M Berneman, J Patro, G Bekoulis, N Deligiannis IEEE Access 9, 130042-130054, 2021 | 27 | 2021 |
| All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media J Patro, B Samanta, S Singh, A Basu, P Mukherjee, M Choudhury, ... arXiv preprint arXiv:1707.08446, 2017 | 26* | 2017 |
| Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection S Bansal, V Garimella, A Suhane, J Patro, A Mukherjee Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 25 | 2020 |
| A deep-learning framework to detect sarcasm targets J Patro, S Bansal, A Mukherjee Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 25 | 2019 |
| Characterizing the spread of exaggerated health news content over social media J Patro, S Baruah, V Gupta, M Choudhury, P Goyal, A Mukherjee Proceedings of the 30th ACM Conference on Hypertext and Social Media, 279-280, 2019 | 9* | 2019 |
| A simple three-step approach for the automatic detection of exaggerated statements in health science news J Patro, S Baruah Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 8 | 2021 |
| A Sociolinguistic Route to the Characterization and Detection of the Credibility of Events on Twitter J Patro, PS Rathore Proceedings of the 31st ACM Conference on Hypertext and Social Media, 241-250, 2020 | 4 | 2020 |
| IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English T Singh Shekhawat, M Kumar, U Rathore, A Joshi, J Patro arXiv e-prints, arXiv: 2203.02244, 2022 | 3* | 2022 |
| What propels celebrity follower counts? Language use or social connectivity J Patro, R Bhaskaran, A Mukherjee arXiv preprint arXiv:1811.07169, 2018 | 3 | 2018 |
| KGPChamps at SemEval-2019 Task 3: A deep learning approach to detect emotions in the dialog utterances. J Patro, N Choudhary, K Chittora, A Mukherjee Proceedings of the 13th International Workshop on Semantic Evaluation, 241-246, 2019 | 1 | 2019 |
| Improving code-mixed hate detection by native sample mixing: A case study for Hindi-English code-mixed scenario D Mazumder, A Kumar, J Patro arXiv preprint arXiv:2405.20755, 2024 | | 2024 |
| Identifying and Extracting Social Signals: From Exaggerations to Code-Borrowing J Patro IIT Kharagpur, 2020 | | 2020 |
| Characterizing the Spread of Exaggerated Health News Content over Social Media J Patro, S Baruah, V Gupta, M Choudhury, P Goyal, A Mukherjee Proceedings of the 30th ACM Conference on Hypertext and Social Media, 279-280, 2019 | | 2019 |
| Characterizing the Spread of Exaggerated Health News Content over Social Media J Patro, S Baruah, V Gupta, M Choudhury, P Goyal, A Mukherjee Proceedings of the 30th ACM Conference on Hypertext and Social Media, 279-280, 2019 | | 2019 |
| Characterizing the spread of exaggerated news content over social media J Patro, S Baruah, V Gupta, M Choudhury, P Goyal, A Mukherjee arXiv preprint arXiv:1811.07853, 2018 | | 2018 |
| All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media J Patro, B Samanta, S Singh, A Basu, P Mukherjee, M Choudhury, ... Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | | 2017 |
Animesh MukherjeeProfessor of Computer Science, IIT Kharagpur, Distinguished Member, ACMVerified email at cse.iitkgp.ac.in
