| Automatic sarcasm detection: A survey A Joshi, P Bhattacharyya, MJ Carman ACM Computing Surveys (CSUR) 50 (5), 1-22, 2017 | 194 | 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 | 183 | 2015 |
| Interlingua-based English–Hindi machine translation and language divergence S Dave, J Parikh, P Bhattacharyya Machine Translation 16 (4), 251-304, 2001 | 182 | 2001 |
| A fall-back strategy for sentiment analysis in hindi: a case study A Joshi, AR Balamurali, P Bhattacharyya Proceedings of the 8th ICON, 2010 | 142 | 2010 |
| 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 | 141 | 2002 |
| IndoWordNet P Bhattacharyya In Proc. of LREC-10, 2010 | 113 | 2010 |
| Sentiment analysis in twitter with lightweight discourse analysis S Mukherjee, P Bhattacharyya Proceedings of COLING 2012, 1847-1864, 2012 | 111 | 2012 |
| Feature specific sentiment analysis for product reviews S Mukherjee, P Bhattacharyya International Conference on Intelligent Text Processing and Computational …, 2012 | 108 | 2012 |
| Is question answering an acquired skill? G Ramakrishnan, S Chakrabarti, D Paranjpe, P Bhattacharya Proceedings of the 13th international conference on World Wide Web, 111-120, 2004 | 107 | 2004 |
| Simple syntactic and morphological processing can help English-Hindi statistical machine translation A Ramanathan, J Hegde, R Shah, P Bhattacharyya, M Sasikumar Proceedings of the Third International Joint Conference on Natural Language …, 2008 | 102 | 2008 |
| 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 | 100 | 2016 |
| 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 | 96 | 2017 |
| Morphological Richness offsets Resource Demand–Experiences in constructing a POS tagger for Hindi S Singh, K Gupta, M Shrivastava, P Bhattacharyya Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 779-786, 2006 | 83 | 2006 |
| Text clustering using semantics B Choudhary, P Bhattacharyya Proceedings of the 11th International World Wide Web Conference, 1-4, 2002 | 81 | 2002 |
| The iit bombay english-hindi parallel corpus A Kunchukuttan, P Mehta, P Bhattacharyya arXiv preprint arXiv:1710.02855, 2017 | 79 | 2017 |
| Your sentiment precedes you: Using an author’s historical tweets to predict sarcasm A Khattri, A Joshi, P Bhattacharyya, M Carman Proceedings of the 6th workshop on computational approaches to subjectivity …, 2015 | 78 | 2015 |
| Cross-lingual sentiment analysis for Indian languages using linked wordnets AR Balamurali, A Joshi, P Bhattacharyya Proceedings of COLING 2012: Posters, 73-82, 2012 | 74 | 2012 |
| Information theoretic feature crediting in multiclass support vector machines V Sindhwani, P Bhattacharya, S Rakshit Proceedings of the 2001 SIAM International Conference on Data Mining, 1-18, 2001 | 74 | 2001 |
| On sampling the wisdom of crowds: Random vs. expert sampling of the twitter stream S Ghosh, MB Zafar, P Bhattacharya, N Sharma, N Ganguly, K Gummadi Proceedings of the 22nd ACM international conference on Information …, 2013 | 72 | 2013 |
| Hindi POS tagger using naive stemming: harnessing morphological information without extensive linguistic knowledge M Shrivastava, P Bhattacharyya International Conference on NLP (ICON08), Pune, India, 2008 | 72 | 2008 |
