| Automatic sarcasm detection: A survey A Joshi, P Bhattacharyya, MJ Carman ACM Computing Surveys (CSUR) 50 (5), 73, 2017 | 462 | 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 | 366 | 2015 |
| A fall-back strategy for sentiment analysis in hindi: a case study A Joshi, AR Balamurali, P Bhattacharyya Proceedings of the 8th ICON, 2010 | 228 | 2010 |
| Are Word Embedding-based Features Useful for Sarcasm Detection? A Joshi, V Tripathi, K Patel, P Bhattacharyya, M Carman EMNLP 2016 (Also: arXiv preprint arXiv:1610.00883), 2016 | 192 | 2016 |
| Cross-lingual sentiment analysis for Indian languages using linked wordnets AR Balamurali, A Joshi, P Bhattacharyya Proceedings of COLING 2012: Posters, 73-82, 2012 | 118 | 2012 |
| 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 | 115 | 2015 |
| Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models S Kamble, A Joshi arXiv preprint arXiv:1811.05145, 2018 | 101 | 2018 |
| C-feel-it: A sentiment analyzer for micro-blogs A Joshi, AR Balamurali, P Bhattacharyya, R Mohanty Proceedings of the ACL-HLT 2011 System Demonstrations, 127-132, 2011 | 83 | 2011 |
| Harnessing sequence labeling for sarcasm detection in dialogue from tv series ‘friends’ A Joshi, V Tripathi, P Bhattacharyya, M Carman Proceedings of The 20th SIGNLL Conference on Computational Natural Language …, 2016 | 81 | 2016 |
| Harnessing wordnet senses for supervised sentiment classification AR Balamurali, A Joshi, P Bhattacharyya Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 59 | 2011 |
| A survey on trust prediction in online social networks SM Ghafari, A Beheshti, A Joshi, C Paris, A Mahmood, S Yakhchi, ... IEEE Access 8, 144292-144309, 2020 | 58 | 2020 |
| Measuring sentiment annotation complexity of text A Joshi, A Mishra, N Senthamilselvan, P Bhattacharyya Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 45 | 2014 |
| How do cultural differences impact the quality of sarcasm annotation?: A case study of indian annotators and american text A Joshi, P Bhattacharyya, M Carman, J Saraswati, R Shukla Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural …, 2016 | 44 | 2016 |
| Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter R Biddle, A Joshi, S Liu, C Paris, G Xu Proceedings of The Web Conference 2020, 1217-1227, 2020 | 40 | 2020 |
| Harnessing tweets for early detection of an acute disease event A Joshi, R Sparks, J McHugh, S Karimi, C Paris, CR MacIntyre Epidemiology 31 (1), 90-97, 2020 | 40 | 2020 |
| Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective A Joshi, S Karimi, R Sparks, C Paris, CR MacIntyre ACM Computing Surveys 52 (6), 19, 2019 | 37 | 2019 |
| Sentiment Resources: Lexicons and Datasets A Joshi, P Bhattacharyya, S Ahire A Practical Guide to Sentiment Analysis, 85-106, 2017 | 36 | 2017 |
| SarcasmBot: An open-source sarcasm-generation module for chatbots A Joshi, A Kunchukuttan, P Bhattacharyya, MJ Carman WISDOM Workshop at KDD, 2015 | 32 | 2015 |
| Emotion analysis from text: A survey V Tripathi, A Joshi, P Bhattacharyya Center for Indian Language Technology Surveys 11 (8), 66-69, 2016 | 31 | 2016 |
| Automated monitoring of tweets for early detection of the 2014 Ebola epidemic A Joshi, R Sparks, S Karimi, SLJ Yan, AA Chughtai, C Paris, ... PloS one 15 (3), e0230322, 2020 | 30 | 2020 |
Dr. Pushpak BhattacharyyaProfessor of Computer Science and Engineering, IIT Bombay在 cse.iitb.ac.in 的电子邮件经过验证
