| Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN D Jain, A Kumar, G Garg Applied Soft Computing 91, 106198, 2020 | 135 | 2020 |
| Sentiment analysis of multimodal twitter data A Kumar, G Garg Multimedia Tools and Applications 78, 24103-24119, 2019 | 132 | 2019 |
| Systematic literature review on context-based sentiment analysis in social multimedia A Kumar, G Garg Multimedia tools and Applications 79 (21), 15349-15380, 2020 | 73 | 2020 |
| Empirical study of shallow and deep learning models for sarcasm detection using context in benchmark datasets A Kumar, G Garg Journal of ambient intelligence and humanized computing 14 (5), 5327-5342, 2023 | 37 | 2023 |
| Sarc-M: Sarcasm detection in typo-graphic memes A Kumar, G Garg International Conference on Advances in Engineering Science Management …, 2019 | 16 | 2019 |
| The multifaceted concept of context in sentiment analysis A Kumar, G Garg Cognitive Informatics and Soft Computing: Proceeding of CISC 2019, 413-421, 2020 | 6 | 2020 |
| Sarcasm detection using feature-variant learning models A Kumar, G Garg Proceedings of ICETIT 2019: Emerging Trends in Information Technology, 683-693, 2020 | 3 | 2020 |
| MODELLING OF CONTEXT-BASED SENTIMENT ANALYSIS AND ITS APPLICATIONS G GARG | | 2020 |
| Fine grain sentiment grading of user-generated big data using contextual cues A Kumar, G Garg World Review of Entrepreneurship, Management and Sustainable Development 16 …, 2020 | | 2020 |
| Context Annotated Graph and Fuzzy Similarity Based Document Descriptor A Kumar, G Garg, R Kumar, M Chugh Proceedings of First International Conference on Computing, Communications …, 2020 | | 2020 |
